Analytical, Diagnostic and Therapeutic Techniques and EquipmentPhenomena and ProcessesAnthropology, Education, Sociology and Social PhenomenaHumanitiesInformation Science
Fuzzy LogicLogicEducation, NonprofessionalNeural Networks (Computer)
Fuzzy Logic
Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as modifiers such as more, less, and very. These ordinary terms represent fuzzy sets in a particular problem. Fuzzy logic plays a key role in many medical expert systems.
Logic
The science that investigates the principles governing correct or reliable inference and deals with the canons and criteria of validity in thought and demonstration. This system of reasoning is applicable to any branch of knowledge or study. (Random House Unabridged Dictionary, 2d ed & Sippl, Computer Dictionary, 4th ed)
Education, Nonprofessional
Education and training outside that for the professions.
Neural Networks (Computer)
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.

Identification of causal relations between haemodynamic variables, auditory evoked potentials and isoflurane by means of fuzzy logic. (1/394)

The aim of this study was to identify a possible relationship between haemodynamic variables, auditory evoked potentials (AEP) and inspired fraction of isoflurane (ISOFl). Two different models (isoflurane and mean arterial pressure) were identified using the fuzzy inductive reasoning (FIR) methodology. A fuzzy model is able to identify non-linear and linear components of a causal relationship by means of optimization of information content of available data. Nine young female patients undergoing hysterectomy under general anaesthesia were included. Mean arterial pressure (MAP), heart rate (HR), end-tidal expired carbon dioxide (CO2ET), AEP and ISOFl were monitored with a sampling time of 10 s. The AEP was extracted using an autoregressive model with exogenous input (ARX model) which decreased the processing time compared with a moving time average. The AEP was mapped into a scalar, termed the depth of anaesthesia index (DAI) normalized to 100 when the patient was awake and descending to an average of 25 during loss of consciousness. The FIR methodology identified those variables among the input variables (MAP, HR, CO2ET, DAI or ISOFl) that had the highest causal relation with the output variables (ISOFl and MAP). The variables with highest causal relation constitute the ISOFl and MAP models. The isoflurane model predicted the given anaesthetic dose with a mean error of 12.1 (SD 10.0)% and the mean arterial pressure model predicted MAP with a mean error of 8.5 (7.8)%.  (+info)

Fuzzy logic and measles vaccination: designing a control strategy. (2/394)

BACKGROUND: The State of Sao Paulo, the most populous in Brazil, was virtually free of measles from 1987 until the end of 1996 when the number of cases started to rise. It reached alarming numbers in the middle of 1997 and local health authorities decided to implement a mass vaccination campaign. METHODS: Fuzzy Decision Making techniques are applied to the design of the vaccination campaign. RESULTS: The mass vaccination strategy chosen changed the natural course of the epidemic. It had a significant impact on the epidemic in the metropolitan area of Sao Paulo city, but a second epidemic in the State's interior forced the public health authorities to implement a second mass vaccination campaign 2 months after the first. CONCLUSIONS: Fuzzy Logic techniques are a powerful tool for the design of control strategies against epidemics of infectious diseases.  (+info)

Which algorithm for scheduling add-on elective cases maximizes operating room utilization? Use of bin packing algorithms and fuzzy constraints in operating room management. (3/394)

BACKGROUND: The algorithm to schedule add-on elective cases that maximizes operating room (OR) suite utilization is unknown. The goal of this study was to use computer simulation to evaluate 10 scheduling algorithms described in the management sciences literature to determine their relative performance at scheduling as many hours of add-on elective cases as possible into open OR time. METHODS: From a surgical services information system for two separate surgical suites, the authors collected these data: (1) hours of open OR time available for add-on cases in each OR each day and (2) duration of each add-on case. These empirical data were used in computer simulations of case scheduling to compare algorithms appropriate for "variable-sized bin packing with bounded space." "Variable size" refers to differing amounts of open time in each "bin," or OR. The end point of the simulations was OR utilization (time an OR was used divided by the time the OR was available). RESULTS: Each day there were 0.24 +/- 0.11 and 0.28 +/- 0.23 simulated cases (mean +/- SD) scheduled to each OR in each of the two surgical suites. The algorithm that maximized OR utilization, Best Fit Descending with fuzzy constraints, achieved OR utilizations 4% larger than the algorithm with poorest performance. CONCLUSIONS: We identified the algorithm for scheduling add-on elective cases that maximizes OR utilization for surgical suites that usually have zero or one add-on elective case in each OR. The ease of implementation of the algorithm, either manually or in an OR information system, needs to be studied.  (+info)

Evaluation of new online automated embolic signal detection algorithm, including comparison with panel of international experts. (4/394)

BACKGROUND AND PURPOSE: The clinical application of Doppler detection of circulating cerebral emboli will depend on a reliable automated system of embolic signal detection; such a system is not currently available. Previous studies have shown that frequency filtering increases the ratio of embolic signal to background signal intensity and that the incorporation of such an approach into an offline automated detection system markedly improved performance. In this study, we evaluated an online version of the system. In a single-center study, we compared its performance with that of a human expert on data from 2 clinical situations, carotid stenosis and the period immediately after carotid endarterectomy. Because the human expert is currently the "gold standard" for embolic signal detection, we also compared the performance of the system with an international panel of human experts in a multicenter study. METHODS: In the single-center evaluation, the performance of the software was tested against that of a human expert on 20 hours of data from 21 patients with carotid stenosis and 18 hours of data from 9 patients that was recorded after carotid endarterectomy. For the multicenter evaluation, a separate 2-hour data set, recorded from 5 patients after carotid endarterectomy, was analyzed by 6 different human experts using the same equipment and by the software. Agreement was assessed by determining the probability of agreement. RESULTS: In the 20 hours of carotid stenosis data, there were 140 embolic signals with an intensity of > or =7 dB. With the software set at a confidence threshold of 60%, a sensitivity of 85.7% and a specificity of 88.9% for detection of embolic signals were obtained. At higher confidence thresholds, a specificity >95% could be obtained, but this was at the expense of a lower sensitivity. In the 18 hours of post-carotid endarterectomy data, there were 411 embolic signals of > or =7-dB intensity. When the same confidence threshold was used, a sensitivity of 95.4% and a specificity of 97.5% were obtained. In the multicenter evaluation, a total of 127 events were recorded as embolic signals by at least 1 center. The total number of embolic signals detected by the 6 different centers was 84, 93, 108, 92, 63, and 78. The software set at a confidence threshold of 60% detected 90 events as embolic signals. The mean probability of agreement, including all human experts and the software, was 0.83, and this was higher than that for 2 human experts and lower than that for 4 human experts. The mean values for the 6 human observers were averaged to give P=0.84, which was similar to that of the software. CONCLUSIONS: By using the frequency specificity of the intensity increase occurring with embolic signals, we have developed an automated detection system with a much improved sensitivity. Its performance was equal to that of some human experts and only slightly below the mean performance of a panel of human experts  (+info)

A property concept frame representation for flexible image-content retrieval in histopathology databases. (5/394)

In histopathology databases, images descriptions are collections of properties provided by experts. Image content retrieval implies comparison of such properties. The objective of this work is to enrich the traditional attribute-value representation of properties in order to take into account the polymorphism and subjectivity of properties and to manage the comparison process. In this paper we define a property concept frame (PCF) representation based on fuzzy logic to handle both representation and comparison. Seven quantifiable morphological characteristics were selected from histopathological reports to illustrate the variety of fuzzy predicates and linguistic terms in properties. The PCF representation has been tested in the context of breast pathology. It is concluded that the PCF representation provides a unification scheme to retrieve in images morphological characteristics that are described in different ways. It may enhance the relevancy of applications in various contexts such as image content-based retrieval or case-based reasoning from images.  (+info)

Decision trees and fuzzy logic: a comparison of models for the selection of measles vaccination strategies in Brazil. (6/394)

In 1997, health authorities of the state of Sao Paulo, Brazil designed a vaccination campaign against measles based on a decision model that utilized fuzzy logic. The chosen mass vaccination strategy was implemented and changed the natural course of the epidemic in that state. We have built a model using a decision tree and compare it to the fuzzy logic model. Using essentially the same set of assumptions about this problem, we contrast the two approaches. The models identify the same strategy as being the best one, but exhibit differences in the ranking of the remaining strategies.  (+info)

Prevention of haemodialysis-induced hypotension by biofeedback control of ultrafiltration and infusion. (7/394)

BACKGROUND: Haemodialysis-induced hypotension is still a severe complication in spite of all the progress in haemodialysis treatment. Because of its multifactorial causes, haemodialysis-induced hypotension cannot be reliably prevented by conventional ultrafiltration and sodium profiling in open-loop systems, as they are unable to adapt themselves to actual decreases in blood pressure. METHODS: A blood-pressure-guided closed-loop system, for prevention of haemodialysis-induced hypotension by biofeedback-driven computer control of both ultrafiltration and saline infusion was clinically tested in 237 treatments of seven patients prone to hypotension. As medical knowledge on multifactorial causes of hypotension is characterized by a lack in deterministic knowledge, fuzzy logic and linguistic variables were used to involve clinical experience on hypotension phenomena in terms of fuzzy knowledge. Biofeedback control is based on frequent measurements of blood pressure at 5 min intervals. Blood pressure behaviour is described by linguistic variables and fuzzy sets. Adaptive rule bases were used for the simultaneous fuzzy control of both the ultrafiltration and infusion of hypertonic saline (20% NaCl). Proper adaptation of control features to patient's conditions was provided by the critical borderline pressure, which was set by the physician individually at the beginning of each treatment. During the initial and medium phases of the sessions, ultrafiltration rates up to 150% of the average rates were applied as long as decreases in blood pressure could be compensated by saline infusion. The surplus of ultrafiltrate volume was used for blood pressure stabilization in the final phase in most instances by low ultrafiltration rates. RESULTS: The advantages of biofeedback-controlled haemodialysis were demonstrated by both decreasing the frequency of hypotonic episodes and by increasing or maintaining constant levels of systolic blood pressure during the final phase in 88% of treatments. As saline infusion was applied mainly in the initial and medium phases, blood sodium levels were not significantly higher at the end of the sessions, and interdialytic weight gain was not elevated. CONCLUSION: The application of fuzzy logic in the blood-pressure-guided biofeedback control of ultrafiltration and sodium infusion during haemodialysis is able to minimize haemodialysis-induced hypotension.  (+info)

A web exercise in evidence-based medicine using cognitive theory. (8/394)

Our aim was to improve clinical reasoning skills by applying an established theory of memory, cognition, and decision making (fuzzy-trace theory) to instruction in evidence-based medicine. Decision-making tasks concerning chest pain evaluation in women were developed for medical students and internal medicine residents. The fuzzy-trace theory guided the selection of online sources (e.g., target articles) and decision-making tasks. Twelve students and 22 internal medicine residents attended didactic conferences emphasizing search, evaluation, and clinical application of relevant evidence. A 17-item Likert scale questionnaire assessed participants' evaluation of the instruction. Ratings for each of the 17 items differed significantly from chance in favor of this alternative approach to instruction. We concluded that fuzzy-trace theory may be a useful guide for developing learning exercises in evidence-based medicine.  (+info)

IET Digital Library: Fuzzy Logic Control in Energy Systems with design applications in MATLAB®/Simulink®IET Digital Library: Fuzzy Logic Control in Energy Systems with design applications in MATLAB®/Simulink®
Modern electrical power systems are facing complex challenges, arising from distributed generation and intermittent renewable energy. Fuzzy logic is one approach to meeting this challenge and providing reliability and power quality. The book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems. The book incorporates a novel fuzzy logic controller design approach in both Matlab® and in Matlab Simulink& so that the user can study every step of the fuzzy logic processor, with the ability to modify the code. Fuzzy Logic Control in Energy Systems is an important read for researchers and practicing engineers in energy engineering and control, as well as advanced students involved with power system research and operation.
http://digital-library.theiet.org/content/books/po/pbpo091e
An adaptive hierarchical fuzzy logic system for modelling and predicti by Mark KinghamAn adaptive hierarchical fuzzy logic system for modelling and predicti by Mark Kingham
In this thesis, an intelligent fuzzy logic system using genetic algorithms for the prediction and modelling of interest rates is developed. The proposed system uses a Hierarchical Fuzzy Logic system in which a genetic algorithm is used as a training method for learning the fuzzy rules knowledge bases. A fuzzy logic system is developed to model and predict three month quarterly interest rate fluctuations. The system is further trained to model and predict interest rates for six month and one year periods. The proposed system is developed with first two, three, then four and finally five hierarchical knowledge bases to model and predict interest rates. A Feed Forward Fuzzy Logic system using fuzzy logic and genetic algorithms is developed to predict interest rates for three months periods. A back-propagation Hierarchical Neural Network system is further developed to predict interest rates for three months, six months and one year periods. These two systems are then compared with the Hierarchical Fuzzy
http://ro.ecu.edu.au/theses/1228/
Type 2 fuzzy logic theory and applications PDF Descargar Gratis
Learn how to create and use a logic model, a visual representation of your initiatives activities, outputs, and expected outcomes whats my personality type? Fuzzy logic: from the very beginning of fuzzy sets. it is employed to handle the concept of. fuzzy logic, in mathematics, a form of logic based on the concept of a fuzzy set. type-2 fuzzy sets and systems generalize standard type-1 fuzzy sets and systems so that more uncertainty can be handled. fuzzy logic is a form of many-valued logic in which the type 2 fuzzy logic theory and applications truth values of variables may be any type 2 fuzzy logic theory and applications real number between 0 and 1. membership in fuzzy sets is expressed in degrees of truth-i.e., as a.. ...
http://bestdownloadtorrentdatabase.us/top/type-2-fuzzy-logic-theory-and-applications_ez/
Comparing Scoring and Fuzzy Logic Method for Teacher Certification DSS in Indonesia - Universitas Udayana RepositoryComparing Scoring and Fuzzy Logic Method for Teacher Certification DSS in Indonesia - Universitas Udayana Repository
Graduation of teacher certification participants plays an important role in improving the quality of education in Indonesia. This paper presents a decision support system using a Scoring and Fuzzy Logic method to determine the participants graduation of teacher certification based on requirements fulfilled. Five criteria were used as the input of the system. In Fuzzy Logic method, each criteria is divided into three parts: low, medium and high; while scoring method is determined by using a 1 - 5 scale for each requirement fulfilled. Graduation and participants ranking using Scoring and Fuzzy Logic is the output of the system. In this paper, the assessment using Scoring and Fuzzy Logic showed different ranks and results in some scores, particularly in practice assessment by using scoring method for score 64,5 would not graduated the participants since the score of practice assessment is 65. While Fuzzy Logic would observe the scores of the four different methods, if those four criteria in the ...
http://erepo.unud.ac.id/5712/
Repository at Hanyang University: Obstacle Avoidance and Path Planning for Mobile Robot Based on Fuzzy Logic Control SystemRepository at Hanyang University: Obstacle Avoidance and Path Planning for Mobile Robot Based on Fuzzy Logic Control System
In this paper, a method to avoid obstacle and path-planning based on fuzzy logic system is proposed. In order to let a mobile robot be able to generate the safety path to the goal point. The following steps to complete these operations. Firstly, the theory of collision avoidance and obstacle detection were introduced. Secondly, a fuzzy logic control system was designed. Finally, the suitable path to avoid the moving obstacle is found by using the fuzzy logic control system. Simulations were carried out in MATLAB, and result verified the good performance of the proposed algorithm ...
http://repository.hanyang.ac.kr/handle/20.500.11754/28885
Introduction to Fuzzy Logic Applications | Rent 9780792363255 | 0792363256Introduction to Fuzzy Logic Applications | Rent 9780792363255 | 0792363256
Fuzzy logic provides a unique method of approximate reasoning in an imperfect world. This text is a bridge to the principles of fuzzy logic through an application-focused approach to selected topics in Engineering and Management. The many examples point to the richer solutions obtained through fuzzy logic and to the possibilities of much wider applications. There are relatively few texts available at present in fuzzy logic applications. The style and content of this text is complementary to those already available. New areas of application are presented in a graded approach in which the underlying concepts are first described. The text is broadly divided into two parts which treat Processes and Materials and also System Applications. The level enables a selection of the text to be made for the substance of a senior undergraduate level course. There is also sufficient volume and quality for the basis of a postgraduate course. A more restricted and judicious selection can provide the material for ...
https://www.valorebooks.com/textbooks/introduction-to-fuzzy-logic-applications/9780792363255
Fuzzy Logic - Controls, Concepts, Theories and ApplicationsFuzzy Logic - Controls, Concepts, Theories and Applications
This book introduces new concepts and theories of Fuzzy Logic Control for the application and development of robotics and intelligent machines. The book consists of nineteen chapters categorized into 1) Robotics and Electrical Machines 2) Intelligent Control Systems with various applications, and 3) New Fuzzy Logic Concepts and Theories. The intended readers of this book are engineers, researchers, and graduate students interested in fuzzy logic control systems….. To read more, please open the following link :. http://www.intechopen.com/books/fuzzy-logic-controls-concepts-theories-and-applications ...
http://comp-eng.binus.ac.id/2012/04/27/fuzzy-logic-controls-concepts-theories-and-applications/
NAVER Academic | Detention Pond Phosphorus Loadings Uncertainty Using Fuzzy LogicNAVER Academic | Detention Pond Phosphorus Loadings Uncertainty Using Fuzzy Logic
This study vitalized the uncertainty and fuzzy rules consideration in the estimation of phosphorus loadings and eutrophication status of the hydrologic system namely detention pond using Fuzzy Logic (MATLAB). These methods were chosen to cater for the uncertainty of loading factors such as sediment and phosphorus inflow, inflowing discharge and pond storage volume. The average of phosphorus concentrations obtained from site investigation was 0.178 mg/L, hydraulic residence time was 1.77 year and the average annual hydraulic loadings was 694.70 m/yr, obtained based on the 12 years period (2000-2012). The results showed that the maximum and minimum of phosphorus loadings was 2.00 x 10-3 ton/year and 5.00 x 10-3 ton/year. Phosphorus loadings obtained from MATLAB fuzzy logic was 3.9 x 10-3 ton/year. The eutrophication status of the detention pond was investigated using Fuzzy Logic Approach, incorporating various fuzzy rules (MATLAB). This evaluation required the twinning usage of Vollenweider P-Loadings
http://academic.naver.com/article.naver?doc_id=81455661
Fuzzy logic controlled differential evolution to solve economic load dispatch problemsFuzzy logic controlled differential evolution to solve economic load dispatch problems
In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE is done with a Fuzzy Logic Controller (FLC) that adjusts this parameter dynamically. We apply the fuzzy logic controlled differential evolution(FLC-DE) to solve the economic load dispatch problem of two test systems consisting of 13 and 40 thermal generators whose non-smooth fuel cost function takes into account the valve-point loading effects. Simulation results indicate that the performance of the FLC-DE present the best results when compared with other optimization approaches in solving economic load dispatch problems.
http://jacr.iausari.ac.ir/article_2422.html
Design and Tuning of Importance-Based Fuzzy Logic Controller for a Fle by Linda Z. Shi and Mohamed TrabiaDesign and Tuning of Importance-Based Fuzzy Logic Controller for a Fle by Linda Z. Shi and Mohamed Trabia
Fuzzy logic control presents a computationally efficient and robust alternative to conventional controllers for many systems. This paper presents a distributed fuzzy logic controller (FLC) structure for a flexible-link manipulator based on evaluating the importance degrees of the output variables of the system. The two velocity variables, which have higher importance degrees, are grouped together as the inputs of the Velocity FLC. The two displacement variables, which have lower importance degrees, are used as the inputs of the Displacement FLC. The outputs of those two FLCs are summed up to control the joint of the flexible link. The fuzzy rules of the distributed importance-based FLCs are written based on the expert knowledge, and the parameters of the membership functions of the two FLCs are tuned using nonlinear programming. The distributed importance-based FLC structure is further compared with two other commonly used structures: a Linear Quadratic Regulator and a distributed PD-like FLC. The
https://digitalscholarship.unlv.edu/me_fac_articles/26/
Introduction many valued and fuzzy logic semantics algebras and derivation systems | Logic | Cambridge University PressIntroduction many valued and fuzzy logic semantics algebras and derivation systems | Logic | Cambridge University Press
Professor Merrie Bergmann presents an accessible introduction to the subject of many-valued and fuzzy logic designed for use on undergraduate and graduate courses in non-classical logic. Bergmann discusses the philosophical issues that give rise to fuzzy logic - problems arising from vague language - and returns to those issues as logical systems are presented. For historical and pedagogical reasons, three-valued logical systems are presented as useful intermediate systems for studying the principles and theory behind fuzzy logic. The major fuzzy logical systems - Lukasiewicz, Gödel, and product logics - are then presented as generalisations of three-valued systems that successfully address the problems of vagueness. A clear presentation of technical concepts, this book includes exercises throughout the text that pose straightforward problems, that ask students to continue proofs begun in the text, and that engage students in the comparison of logical systems. ...
http://www.cambridge.org/ls/academic/subjects/philosophy/logic/introduction-many-valued-and-fuzzy-logic-semantics-algebras-and-derivation-systems
A new fuzzy logic controller based IPM synchronous motor drive - KFUPM ePrintsA new fuzzy logic controller based IPM synchronous motor drive - KFUPM ePrints
This paper presents a novel fuzzy logic controller (FLC) scheme for speed control of an interior permanent magnet synchronous motor (IPMSM) drive. The proposed FLC is designed to have less computational burden, which makes it suitable for online implementation. The FLC parameters are optimized by genetic algorithm. The complete vector control scheme incorporating the FLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1 hp interior permanent magnet (IPM) motor. The efficacy of the proposed FLC based IPMSM drive is verified by simulation as well as experimental results at different dynamic operating conditions such as sudden load change, parameter variations, step change of command speed, etc. The proposed fuzzy logic controller is found to be a robust controller for application in IPMSM drive. ...
http://eprints.kfupm.edu.sa/14721/
Block Diagram Of Fuzzy Logic Controller - yhgfdmuor.net
Fuzzy logic controller block diagram - figure 3 of 9 at wiring block. Block Diagram Of Fuzzy Logic Controller By familiarizing yourself with the representations which might be used while looking at any wiring diagram, start. The electric symbols will not merely show what sort of device will be installed, although where something will be installed. Make sure before you begin your task you understand the representations in your plan. There ought to be a chart on your own diagram showing the different representations used, just like a on a chart.. ...
http://yhgfdmuor.net/block-diagram-of-fuzzy-logic-controller-5458-wiring-block.html
PPT - MATLAB Fuzzy Logic Toolbox PowerPoint Presentation - ID:3566635PPT - MATLAB Fuzzy Logic Toolbox PowerPoint Presentation - ID:3566635
MATLAB Fuzzy Logic Toolbox. CS364 Artificial Intelligence. MATLAB Fuzzy Logic Toolbox. Introduction Graphical User Interface (GUI) Tools Example: Dinner for two. Introduction. MATLAB fuzzy logic toolbox facilitates the development of fuzzy-logic systems using:. Slideshow 3566635 by onslow
https://www.slideserve.com/onslow/matlab-fuzzy-logic-toolbox
Extending human perception of electromagnetic radiation to the UV region through biologically inspired photochromic fuzzy logic...
TY - JOUR. T1 - Extending human perception of electromagnetic radiation to the UV region through biologically inspired photochromic fuzzy logic (BIPFUL) systems. AU - Gentili, Pier Luigi. AU - Rightler, Amanda L.. AU - Heron, B. Mark. AU - Gabbutt, Christopher D.. PY - 2016/1/25. Y1 - 2016/1/25. N2 - Photochromic fuzzy logic systems have been designed that extend human visual perception into the UV region. The systems are founded on a detailed knowledge of the activation wavelengths and quantum yields of a series of thermally reversible photochromic compounds. By appropriate matching of the photochromic behaviour unique colour signatures are generated in response differing UV activation frequencies.. AB - Photochromic fuzzy logic systems have been designed that extend human visual perception into the UV region. The systems are founded on a detailed knowledge of the activation wavelengths and quantum yields of a series of thermally reversible photochromic compounds. By appropriate matching of the ...
https://pure.hud.ac.uk/en/publications/extending-human-perception-of-electromagnetic-radiation-to-the-uv
NAVER 학술정보 | A Fuzzy Inference System for Diagnosis of HypothyroidismNAVER 학술정보 | A Fuzzy Inference System for Diagnosis of Hypothyroidism
Fuzzy sets have been applied in medical field where uncertainty plays a major role. Medicine, often on the borderline between science and art, is an excellent example where vagueness, hesitation, linguistic uncertainty, measurement imprecision, natural diversity and subjectivity are prominently present in medical diagnosis. Medical diagnosis is a problem complicated by many and manifold factors and its solution involve all of a humans abilities including intuition and the subconscious. Fuzzy logic is used in diagnosis of pulmonary embolism, cortical malformations, rheumatic and pancreatic diseases, hepatitides and diabetes. Fuzzy inference system is a linguistic frame work by which human thinking process can be modeled. In this study we are presenting a fuzzy inference system that will diagnose the thyroid disease specially a major disorder known as Hypothyroidism. It is the most common thyroid disorder today. Because of uncertain symptoms, it is very difficult to diagnose the disease. Particularly in
http://academic.naver.com/article.naver?doc_id=81446046
Steering Fuzzy Logic Controller for an Autonomous Vehicle by N. E. Hodge and Mohamed B. TrabiaSteering Fuzzy Logic Controller for an Autonomous Vehicle by N. E. Hodge and Mohamed B. Trabia
Autonomous vehicles can be used in variety of applications such as hazardous environment or intelligent highway system. Fuzzy logic seems to be an appropriate choice for this area. This paper proposes a fuzzy logic controller for steering an autonomous vehicle toward a target. The controller is divided into separate modules to mimic the way humans think while driving. One module drives the vehicle toward the target while another is used to avoid collision with obstacles. A separate module is designed to drive the vehicle through mazes. The last module adjusts the final orientation of the target. The paper contains several examples to demonstrate the interaction between the several modules of the controller
https://digitalscholarship.unlv.edu/me_fac_articles/451/
Journal of Engineering and Technology Research - multi-criteria decision making using fuzzy logic approach for evaluating the...Journal of Engineering and Technology Research - multi-criteria decision making using fuzzy logic approach for evaluating the...
  Manufacturing flexibility is the ability of a manufacturing system to cope with environmental changes effectively and efficiently. Most operation managers cannot provide exact numerical values to express opinions based on human perception due to ill defined and ambiguity of flexibility assessment. However, fuzzy logic provides a useful tool to deal with problems in which the phenomena are imprecise and vague. The purpose of this study is to measure the flexibility of manufacturing system based on multi-criteria decision making using fuzzy logic approach. In this approach, the performance ratings and importance weights of different flexibility capabilities assessed by experts are expressed in linguistic terms. Fuzzy performance-importance index of each flexibility capability is also devised to help managers identify the main adverse factors and calls for managers to institute an appropriate action plan to improve the flexibility level. An example is also used to illustrate the approach
https://academicjournals.org/journal/JETR/article-stat/F83143A10682
Applied Sciences | Free Full-Text | Use of the Genetic Algorithm-Based Fuzzy Logic Controller for Load-Frequency Control in a...Applied Sciences | Free Full-Text | Use of the Genetic Algorithm-Based Fuzzy Logic Controller for Load-Frequency Control in a...
The use of renewable energy resources has created some problems for power systems. One of the most important of these is load frequency control (LFC). In this study, in order to solve the LFC problem, modern control methods were applied to a two area multi source interconnected power system. A photovoltaic solar power plant (PV-SPP) was also connected, in order to identify the harmful effects on the frequency of the system. A new Genetic-based Fuzzy Logic (GA-FL) controller was designed to control the frequency of the system. For comparison, conventional proportional-integral-derivative (PID), fuzzy logic (FL), and Genetic Algorithm (GA)-PID controllers were also designed. The new control method exhibited a better performance than the conventional and other modern control methods, because of the low overshoot and short settling time. All simulations were realized with the Matlab-Simulink program.
http://www.mdpi.com/2076-3417/7/3/308
An investigation into the factors affecting performance of fuzzy logic systems - Nottingham ePrintsAn investigation into the factors affecting performance of fuzzy logic systems - Nottingham ePrints
This thesis introduces a novel scheme by which several methods of comparing performance are employed to observe how the output and resulting performance levels change as factors including: controller configuration, task difficulty and environmental variability are varied. These methods are performed over three applications which gradually increase in complexity: a simple tipping example, a more developed simulation based on an autonomous sailing robots application and subsequent real-world experiments, which also involve the autonomous sailing problem. The first method of comparison studies how the rules which fire for a given input set change as the configuration of the fuzzy logic controller is increased. The second comparative technique investigates the control surfaces produced by a selection of fuzzy logic controllers to observe how they change as the internal configuration is changed. Observations such as the smoothing of the transitions between surfaces suggest that controllers with a ...
http://eprints.nottingham.ac.uk/28403/
Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System - University of Huddersfield...Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System - University of Huddersfield...
In this paper, the development of fault detection method for PV modules defective bypass diodes is presented. Bypass diodes are nowadays used in PV modules in order to enhance the output power production during partial shading conditions. However, there is lack of scientific research which demonstrates the detection of defective bypass diodes in PV systems. Thus, this paper propose a PV bypass diode fault detection classification based on Mamdani fuzzy logic system, which depends on the analysis of Vdrop, Voc , and Isc obtained from the I-V curve of the examined PV module. The fuzzy logic system depends on three inputs, namely percentage of voltage drop (PVD), percentage of open circuit voltage (POCV), and the percentage of short circuit current (PSCC). The proposed fuzzy system can detect up to 13 different faults associated with defective and non-defective bypass diodes. In addition, the proposed system was evaluated using two different PV modules under various defective bypass conditions. ...
http://eprints.hud.ac.uk/id/eprint/33779/
Model-based development of a fuzzy logic advisor for artificially ventilated patients. - White Rose eTheses OnlineModel-based development of a fuzzy logic advisor for artificially ventilated patients. - White Rose eTheses Online
This thesis describes the model-based development and validation of an advisor for the maintenance of artificially ventilated patients in the intensive care unit (ICU). The advisor employs fuzzy logic to represent an anaesthetists decision making process when adjusting ventilator settings to safely maintain a patients blood-gases and airway pressures within desired limits. Fuzzy logic was chosen for its ability to process both quantitative and qualitative data. The advisor estimates the changes in inspired O2 fraction (FI02), peak inspiratory pressure (PEEP), respiratory rate (RR), tidal volume (VT) and inspiratory time (TIN), based upon observations of the patient state and the current ventilator settings. The advisor rules only considered the ventilation of patients on volume control (VC) and pressure regulated volume control (PRVC) modes. The fuzzy rules were handcrafted using known physiological relationships and from tacit knowledge elicited during dialogue with anaesthetists. The ...
http://etheses.whiterose.ac.uk/14821/
Fuzzy logic | mathematics | BritannicaFuzzy logic | mathematics | Britannica
Fuzzy logic, in mathematics, a form of logic based on the concept of a fuzzy set. Membership in fuzzy sets is expressed in degrees of truth-i.e., as a continuum of values ranging from 0 to 1. In a narrow sense, the term fuzzy logic refers to a system of approximate reasoning, but its widest meaning
https://www.britannica.com/science/fuzzy-logic
Fuzzy Logic Ppt | Fuzzy Logic | LogicFuzzy Logic Ppt | Fuzzy Logic | Logic
FUZZY LOGICT.C.Kanish Assistant Professor (Sr.) VIT University OVERVIEW What is Fuzzy Logic? Where did it begin? What is MatLab Fu...
https://www.scribd.com/document/33820137/Fuzzy-Logic-Ppt
Genetic Algorithms Quality Assessment Implementing Intuitionistic Fuzzy Logic: Library & Information Science Book Chapter | IGI...Genetic Algorithms Quality Assessment Implementing Intuitionistic Fuzzy Logic: Library & Information Science Book Chapter | IGI...
Genetic Algorithms Quality Assessment Implementing Intuitionistic Fuzzy Logic: 10.4018/978-1-4666-7456-1.ch049: Intuitionistic fuzzy logic has been implemented in this investigation aiming to derive intuitionistic fuzzy estimations of model parameters of yeast fed-batch
https://www.igi-global.com/chapter/genetic-algorithms-quality-assessment-implementing-intuitionistic-fuzzy-logic/124542
A Real-World Application of Fuzzy Logic and Influence Coefficients for Gas Turbine Performance Diagnostics | Volume 1: Turbo...A Real-World Application of Fuzzy Logic and Influence Coefficients for Gas Turbine Performance Diagnostics | Volume 1: Turbo...
This paper presents an example of the use of fuzzy logic combined with influence coefficients applied to engine test-cell data to diagnose gas-path related performance faults. The approach utilizes influence coefficients which describe the changes in measurable parameters due to changes in component condition such as compressor efficiency. Such approaches usually have the disadvantages of attributing measurement noise or sensor errors to changes in engine condition, and do not have the ability to diagnose more faults than the number of measurement parameters that exist. These disadvantages usually make such methods impractical for anything but simulated data without measurement noise or errors. However, in this example, the influence coefficients are used in an iterative approach, in combination with fuzzy logic, to overcome these obstacles. The method is demonstrated using eight examples from real-world test-cell data.. Copyright © 2007 by Commonwealth of Australia ...
http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1591284
A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT...A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT...
Sensitivity-based linear learning method (SBLLM) has recently been used as a predictive tool due to its unique characteristics and performance, particularly its high stability and consistency during predictions. However, the generalisation capability of SBLLM is sometimes limited depending on the nature of the dataset, particularly on whether uncertainty is present in the dataset or not. Since it made use of sensitivity analysis in relation to the data sets used, it is surely very prone to being affected by the nature of the dataset. In order to reduce the effects of uncertainties in SBLLM prediction and improve its generalisation ability, this paper proposes a hybrid system through the unique combination of type-2 fuzzy logic systems (type-2 FLSs) and SBLLM; thereafter the hybrid system was used to model PVT properties of crude oil systems. Type-2 FLS has been choosen in order to better handle uncertainties existing in datasets beyond the capability of type-1 fuzzy logic systems. In the proposed hybrid
https://www.hindawi.com/journals/afs/2012/359429/
An α-cut Automatic Set based on Fuzzy Binarization Using Fuzzy Logic | Korea ScienceAn α-cut Automatic Set based on Fuzzy Binarization Using Fuzzy Logic | Korea Science
An α-cut Automatic Set based on Fuzzy Binarization Using Fuzzy Logic - Image Processing;Fuzzy Binarization;Fuzzy Logic;Fuzzy Arithmetic Operation;Image Enhancement;
http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=HOJBC0_2015_v19n12_2924
Integrating system dynamics and fuzzy logic modelling for construction risk management - StrathprintsIntegrating system dynamics and fuzzy logic modelling for construction risk management - Strathprints
The complex structure of construction project risks arises from their internal and external interactions with their dynamic nature throughout the life cycle of the project. A system dynamics (SD) approach to construction project risk management is presented, including risk analysis and response process. Owing to the imprecise and uncertain nature of risks, fuzzy logic is integrated into system dynamics modelling structure. Risk magnitudes are defined by a fuzzy logic based risk magnitude prediction system. Zadehs extension principle and interval arithmetic is employed in the SD simulation model to present the system outcomes considering uncertainties in the magnitude of risks resulting from the risk magnitude prediction system. The performance of the proposed method is assessed by employing the method in the risk management plan of a sample project. The impact of a sample risk is quantified and efficiency of different alternative response scenarios is assessed. The proposed approach supports ...
https://strathprints.strath.ac.uk/14327/
Washing Machines with Fuzzy Logic Under 17000 in IndiaWashing Machines with Fuzzy Logic Under 17000 in India
Washing Machines with Fuzzy Logic Under 17000 in India on 11th December 2017. Check out all Washing Machines with Fuzzy Logic Under 17000 Specs, Features, Reviews and buy Online.
http://www.pricedealsindia.com/washing-machines/fuzzy-logic-washing-machine-under-rs-17000-in-india.html
7.5 Kg Washing Machines with Fuzzy Logic Price List in India7.5 Kg Washing Machines with Fuzzy Logic Price List in India
7.5 Kg Washing Machines with Fuzzy Logic Price List in India on 18th December 2017. Check out all 7.5 Kg Washing Machines with Fuzzy Logic Specs, Features, Reviews and buy Online.
http://www.pricedealsindia.com/washing-machines/7.5-kg-fuzzy-logic-washing-machine-price-list-in-india.html
Taguchi, Fuzzy Logic and Grey Relational Analysis Based Optimization of ECSM Process during Micro Machining of E-Glass-Fibre...Taguchi, Fuzzy Logic and Grey Relational Analysis Based Optimization of ECSM Process during Micro Machining of E-Glass-Fibre...
Taguchi, Fuzzy Logic and Grey Relational Analysis Based Optimization of ECSM Process during Micro Machining of E-Glass-Fibre-Epoxy Composite: 10.4018/978-1-4666-0128-4.ch010: In this chapter, the use of Taguchi method, Fuzzy logic, and Grey relational analysis based on an L16 (45) orthogonal array for optimizing the multi response
https://www.igi-global.com/chapter/taguchi-fuzzy-logic-grey-relational/63342
MS90 Fuzzy Logic and Its ApplicationsMS90 Fuzzy Logic and Its Applications
The theory of fuzzy logic is the core of this minisymposium. The speakers in this session will discuss on three main topics -- fuzzy logic, operations research, and robotics. Organizers: Luisa Maria Nicosia McAllister, Moravian College; and Enrique Ruspini, SRI International, Menlo Park, California ...
http://siam.org/meetings/archives/an97/ms90.htm
Go to Fuzzy Logics Money Talks - EP launch.Go to Fuzzy Logics Money Talks - EP launch.
Money Talks, the new sound of Fuzzy Logic, following a slew of multi-genre singles released independently since 2010. It combines house and deep techno elements infused with glitchy samples, lyrics and vocal hooks.. The EP was launched on 10th january 2014 will be supported by a launch tour across Mumbai, Pune, Delhi and Bangalore in January and February 2014.. Fuzzy Logic strives to make electronic music more live and personal by using voice and quirky samples in his live performances. He lives and works in Mumbai as a music producer composing music for film and television.. Having previously played for rock, funk and electronic outfits such as Galeej Gurus, Zebediah Plush and Tempo Tantrick, Fuzz currently performs live electronic sets as well as plays drums with his alt-rock band Slow Down Clown.. ...
http://www.ritzmagazine.in/fuzzy-logics-money-talks-ep-launch/
Continuous soil pollution mapping using fuzzy logic and spatial interpolation | Dr. Nader FathianpourContinuous soil pollution mapping using fuzzy logic and spatial interpolation | Dr. Nader Fathianpour
Amini M., Afyuni M., Fathianpour N., Khademi H., Fluhler H., Continuous soil pollution mapping using fuzzy logic and spatial interpolation, GEODERMA, Vol. 124, PP. 223-233, 2005. Amini M., Afyuni M., Fathianpour N., Khademi H., Fluhler H., Continuous soil pollution mapping using fuzzy logic and spatial interpolation, GEODERMA, Vol. 124, PP. 223-233, 2005.
http://fathianpour.iut.ac.ir/content/continuous-soil-pollution-mapping-using-fuzzy-logic-and-spatial-interpolation
Panasonic SR-MS103 - Microcomputer Controlled/Fuzzy Logic Rice CookerPanasonic SR-MS103 - Microcomputer Controlled/Fuzzy Logic Rice Cooker
Review or Purchase Panasonic SR-MS103 - Microcomputer Controlled/Fuzzy Logic Rice Cooker - Advanced Fuzzy Logic Technology - Pushbutton Lid Release - 24-Hour Preset Timer - Keep Warm Feature - 8 Pre-Program Control Panel Overview
http://shop.panasonic.com/SR-MS103.html?support
Welcome to CDC stacks | Aspects of genetic algorithm-designed fuzzy logic controllers - 10061 | National Institute for...Welcome to CDC stacks | Aspects of genetic algorithm-designed fuzzy logic controllers - 10061 | National Institute for...
The research described in the report is two-fold. First, the basic approach to developing a fuzzy logic controller (FLC) using genetic algorithms (GAs) is presented. The GA-designed FLC is developed for a specific physical system, a pH titration system. Second, empirical results are presented in which variations in the FLC implementation are compared. Specifically, the effects of altering five aspects of the pH FLC are considered: (1) membership function form, (2) number of fuzzy classes, (3) the center-of-area method, (4) implication operator, and (5) fuzzy rule form. Results indicate that the technique in which GAs are used to design FLCs is effective, and when this technique is used, variations in FLC implementation have little effect on FLC performance in a chosen control problem. - NIOSHTIC-2 ...
https://stacks.cdc.gov/view/cdc/10061
An optimal fuzzy logic controller for an underactuated unicycle | ScholarBank@NUSAn optimal fuzzy logic controller for an underactuated unicycle | [email protected]
In this paper, we propose a hybrid design method for fuzzy logic controller (FLC), where the control objective for unicycle is to achieve velocity control of the wheel while keep the pendulum at the balanced position that is an unstable equilibrium. The hybrid design consists of three phases. First, FLC structure including the number of rules, membership function, inference, and parametric relations, are chosen based on heuristic knowledge about the unicycle. Then, based on a linearized model and linear feedback, the output parameters of FLC are determined quantitatively for the stabilization of the unicycle. Next, fine tuning of FLC output parameters are carried out using an iterative learning tuning (ILT) algorithm, where ILT iteratively minimizes an objective function that specifies the desired unicycle performance. The rationale of introducing the hybrid FLC design is to fully utilize available information, which is achieved by combining model-based and model-free designs, hence improve FLC ...
http://scholarbank.nus.edu.sg/handle/10635/69355
Fuzzy Logic Controller (FLC) for the control of Particulate Matter (PM) emission in wet scrubber system - IIUM Repository ...Fuzzy Logic Controller (FLC) for the control of Particulate Matter (PM) emission in wet scrubber system - IIUM Repository ...
Air pollution such as particulate matter (PM) emitted from industries result in several thousands of deaths. In recognition of this global threat, a large number of abatement measures have been taken to minimize the emission of this pollutant. Wet scrubber system has been the most widely used control device for PM contaminants. Its operating variables (gas velocity, temperature profile, particle size, liquid droplets size, terminal settling velocity of liquid droplets, particle density and liquid to gas ratio) fluctuates randomly, thus resulting in a non-linear dynamic behavior of the system. This non-linearity generally limits the ability of the scrubber to control PM less than 5μm in diameter. Thus, in this study, intelligent control technique based on fuzzy logic controller (FLC) has been developed to solve the non-linearity in the system by selecting appropriate scrubbing liquid droplet size in order to improve system performance to control PM that are less than 5μm in diameter. The ...
http://irep.iium.edu.my/45230/
An evaluation of LQR and fuzzy logic controllers for active ...An evaluation of LQR and fuzzy logic controllers for active ...
Article An evaluation of LQR and fuzzy logic controllers for active suspension using half car model. The application of the linear quadratic regulator (LQR) ...
https://www.environmental-expert.com/articles/an-evaluation-of-lqr-and-fuzzy-logic-controllers-for-active-suspension-using-half-car-model-419077
Dymocks - Neural and Fuzzy Logic Control of Drives and Power Systems by Dinu AndreiDymocks - Neural and Fuzzy Logic Control of Drives and Power Systems by Dinu Andrei
Buy Neural and Fuzzy Logic Control of Drives and Power Systems from Dymocks online BookStore. Find latest reader reviews and much more at Dymocks
https://www.dymocks.com.au/book/neural-and-fuzzy-logic-control-of-drives-and-power-systems-by-marcian-cirstea-9780080497365/
Going All Fuzzy: When Do You Avoid Discrete Logic? | AiGameDev.com
This weeks developer discussion is all about fuzzy logic. Click here to join the conversation by posting a comment. Have you used fuzzy logic before? If so, how did you apply it to your game AI? If not, why didnt you use fuzzy logic? Nice and Crisp Theres no argument here: discrete logic is the default in the game AI industry. Heres my take on why thats the case: Crisp logic is easier to implement, whether using finite state machines, behavior trees, or planners. Its more efficient to consider the best choice rather than having to calculate probabilities for alternatives. Design is more intuitive when the choices are crisp. Its easier to predict the outcome of an emergent system. Crisp decisions for the behaviors are easier to understand for the player, and less confusing. In a way, these are points against fuzzy logic. Do you agree with them? When to Go Fuzzy? Like any tool, fuzzy logic certainly has its advantages. To name a few: Its easier to write logic for reasoning with
http://aigamedev.com/open/article/fuzzy-avoid-discrete/
Fuzzy Description Logics from a Mathematical Fuzzy Logic point of view | IIIA CSICFuzzy Description Logics from a Mathematical Fuzzy Logic point of view | IIIA CSIC
Description Logic is a formalism that is widely used in the framework of Knowledge Representation and Reasoning in Artificial Intelligence. It is based on Classical Logic in order to guarantee the correctness of the inferences on the required reasoning tasks. It is indeed a fragment of First Order Predicate Logic whose language is strictly related to the one of Modal Logic. Fuzzy Description Logic is the generalization of the classical Description Logic framework thought for reasoning with vague concepts that often arise in practical applications. Fuzzy Description Logic has been investigated since the last decade of the 20th century. During the first fifteen years of investigation its semantics has been based on Fuzzy Set Theory. A semantics based on Fuzzy Set Theory, however, has been shown to have some counter-intuitive behavior, due to the fact that the truth function for the implication used is not the residuum of the truth function for the conjunction. In the meanwhile, Fuzzy Logic has ...
https://www.iiia.csic.es/en/node/54228
A reservoir rock porosity estimation through image analysis and fuzzy logic techniquesA reservoir rock porosity estimation through image analysis and fuzzy logic techniques
Petrophysical properties of petroleum reservoir rocks are usually obtained by laborious core laboratory measurements. The present study investigates the capability of petrographic image analysis applied on thin sections of reservoir rock and fuzzy logic for predicting porosity in carbonate rocks. The proposed methodology comprises two steps: first, the petrographic parameters, including porosity type, grain size, mean geometrical shape coefficient of grains, and texture type, were extracted for each thin section based on image analysis techniques. Consequently, the petrographic parameters were formulated to core porosity using a Takagi and Sugeno fuzzy inference system. Petrographic image analysis is an emerging technology, which provides fast and accurate quantitative evaluation from reservoir rock. The results of single petrographic image analysis showed inaccurate estimation of total porosity in all rocks except those that have an extremely isotropic pore structure. A quantitative evaluation ...
https://espace.curtin.edu.au/handle/20.500.11937/45736
Fuzzy logicFuzzy logic
is a form of multi valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. Just as in fuzzy set theory the set membership values can range (inclusively) between 0 and 1, in fuzzy logic the degree
https://en.academic.ru/dic.nsf/enwiki/31501
Patent US4837725 - Fuzzy membership function circuit - Google PatentsPatent US4837725 - Fuzzy membership function circuit - Google Patents
A programmable multi-membership function circuit comprises at least one or preferably two Z function circuits, at least one or preferably two S function circuits, and a fuzzy logic circuit for calculating fuzzy logic from the output of the Z function circuits and the output of the S function circuits. The fuzzy logic circuit comprises a MIN (intersection) circuit and a MAX (union) circuit, or the combination of these circuits.
http://www.google.com/patents/US4837725?dq=5166694
Patent US5485550 - Method and apparatus for fuzzy logic rule execution - Google PatentsPatent US5485550 - Method and apparatus for fuzzy logic rule execution - Google Patents
A fuzzy logic system for processing a vector of signals includes a rule partition table stored in an electronic memory, a rule identifier, and a rule processor. The rule partition table is organized to include identifiers, each corresponding to a unique combination of partitions of signal values of the vector of signals, and each identifying fuzzy rules which are preselected to be applied to a corresponding vector of signals having signal values within respective ranges of the partitions corresponding to the identifier. Preselection may include only fuzzy rules which produce non-zero outputs when applied to a vector of signals having signal values within respective ranges of the partitions corresponding to the identifier. The rule identifier accesses a location in the rule partition table corresponding to the vector of signals, and retrieves therefrom a corresponding identifier. The rule processor applies each identified fuzzy rule to the vector of signals to produce a processed vector of signals. The
http://www.google.co.uk/patents/US5485550
Fuzzy Logic Question Papers - Keshavaprasad B SFuzzy Logic Question Papers - Keshavaprasad B S
This is my personal website. Currently contains some lab programs I wrote during my college days, links to some of my hobby projects and my marriage photos.
http://www.kbsbng.com/fuzzylogicquestionpapers
淡江大學 | 教師歷程系統 | A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables淡江大學 | 教師歷程系統 | A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables
Maximum power point tracking (MPPT) is one of the key functions of the solar power management system in solar energy deployment. This paper investigates the design of fuzzy-logic-based solar power MPPT algorithms using different fuzzy input variables. Six fuzzy MPPT algorithms, based on different input variables, were considered in this study, namely (i) slope (of solar power-versus-solar voltage) and changes of the slope; (ii) slope and variation of the power; (iii) variation of power and variation of voltage; (iv) variation of power and variation of current; (v) sum of conductance and increment of the conductance; and (vi) sum of angles of arctangent of the conductance and arctangent of increment of the conductance. Algorithms (i)-(iv) have two input variables each while algorithms (v) and (vi) use a single input variable. The fuzzy logic MPPT function is deployed using a buck-boost power converter. This paper presents the details of the determinations, considerations of the fuzzy rules, as ...
http://teacher.tku.edu.tw/StfFdDtl.aspx?tid=6854674
Fuzzy Brain and Brain Computer Interfaces - Special Session @ FUZZ-IEEEFuzzy Brain and Brain Computer Interfaces - Special Session @ FUZZ-IEEE
Given the important challenges associated with the processing of brain signals obtained from neuroimaging modalities, fuzzy sets and systems have been proposed as a useful and effective framework for the analysis of brain activity as well as to enable a direct communication pathway between the brain and external devices (brain computer/machine interfaces). While there has been increasing interest in these questions, the contribution of fuzzy logic sets and systems has been diverse depending on the area of application. On the one hand, considering the decoding of brain activity, fuzzy sets and systems represent an excellent tool to overcome the challenge of processing extremely noisy signals that are very likely to be affected by non-stationarities. On the other hand, as regards neuroscience research, fuzziness has equally been employed for the measurement of smooth integration between synapses, neurons, and brain regions or areas. In this context, the proposed special session aims at providing ...
https://sites.google.com/view/fuzzieeebrain2017/
ICO 2019 - IFORS, Operations Research, Operational Research, Management ScienceICO 2019 - IFORS, Operations Research, Operational Research, Management Science
The International Federation of Operational Research Societies IFORS is an umbrella organization comprising the national Operations Research societies of over forty five countries from four geographical regions: Asia Pacific, Europe, North America, South America
https://www.ifors.org/ico-2019/
Plenary LecturePlenary Lecture
Process optimization; Advanced numerical methods, Control and On-line optimization; Computer Aided Process Operation and Design, Safety and Risk analysis; Information System, Data base, Expert systems, Learning Systems; Informatics, Management; Artificial Intelligence, Neural Networks and Fuzzy logics; Biosystems, Bioinformatics, Pharmaceutical and Biomedical Engineering. Other professional activites: Over 800 papers, 8 books, patentees in the field, Consultant in many companies, Member of many professional organizations, Reviewer of many journals, Citation Index over 200. She has cited in many monographs and she is One of the Worlds 100 Top Scientists- IBC Cambridge.. ...
http://www.wseas.us/conferences/2010/iasi/mcbc/Plenary3.htm
BUSINESS TECHNOLOGY - Fuzzy Thinking Has Merits When It Comes to Elevators - NYTimes.comBUSINESS TECHNOLOGY - Fuzzy Thinking Has Merits When It Comes to Elevators - NYTimes.com
In a perfect world, elevators would never do those irritating things elevators do, such as coming late or not at all. Or stopping at every floor between here and there. Or suddenly slamming their doors on a passenger who has been a nanosecond too slow, or generously opening their doors to show a would-be rider an elevator packed tighter than a Broadway local subway car at rush hour. But this is an imperfect world, and that is why Bruce A. Powell, John S. Kendall and David J. Sirag labor for the Otis Elevator Company in the rolling hills of central Connecticut, using various forms of artificial intelligence -- technologies and disciplines with odd names like fuzzy logic and neural networks -- to improve the relationship between humankind and its elevators.
http://www.nytimes.com/1993/09/22/business/business-technology-fuzzy-thinking-has-merits-when-it-comes-to-elevators.html?pagewanted=2&src=pm
The nonlinear workbook : chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector...The nonlinear workbook : chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector...
The nonlinear workbook : chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, fuzzy logic with C++, java and symbolicC++ programs / Willi-Hans Steeb ; in collaboration with Yorick Hardy, Ruedi ...
https://topics.libra.titech.ac.jp/recordID/catalog.bib/BB18161044?hit=-1&caller=xc-search
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification |...Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification |...
Data Science, Big Data, Machine Learning, Soft Computing, Evolutionary Algorithms, Fuzzy Logic, Neural Networks, Environmental Applications, ...
https://simidat.ujaen.es/node/137
The role of soft computing in intelligent machines | Philosophical Transactions of the Royal Society of London A: Mathematical,...The role of soft computing in intelligent machines | Philosophical Transactions of the Royal Society of London A: Mathematical,...
An intelligent machine relies on computational intelligence in generating its intelligent behaviour. This requires a knowledge system in which representation and processing of knowledge are central functions. Approximation is a soft concept, and the capability to approximate for the purposes of comparison, pattern recognition, reasoning, and decision making is a manifestation of intelligence. This paper examines the use of soft computing in intelligent machines. Soft computing is an important branch of computational intelligence, where fuzzy logic, probability theory, neural networks, and genetic algorithms are synergistically used to mimic the reasoning and decision making of a human. This paper explores several important characteristics and capabilities of machines that exhibit intelligent behaviour. Approaches that are useful in the development of an intelligent machine are introduced. The paper presents a general structure for an intelligent machine, giving particular emphasis to its ...
http://rsta.royalsocietypublishing.org/content/361/1809/1749
Optimising Energy Systems in Smart Urban Areas | IntechOpenOptimising Energy Systems in Smart Urban Areas | IntechOpen
In this chapter, the urban structure will be defined with zero or almost zero energy consumption, followed by pollution parameters. Energy systems are designed as networks of energy-intensive local hubs with multiple sources of hybrid energies, where different energy flows are collected on the same busbar and can be accumulated, delivered, or transformed as needed into the intelligent urban area. For analysis of the purpose function of our energy system, a micro-network of renewable energy sources (RES) is defined by penalization and limitations. By using fuzzy logic, a set of permissible solutions of this purpose function is accepted, and the type of daily electricity consumption diagrams is defined when applying cluster analysis. A self-organising neural network and then a Kohonen network were used. The experiment is to justify the application of new procedures of mathematical and informatics-oriented methods and optimisation procedures, with an outlined methodology for the design of smart areas and
https://www.intechopen.com/books/zero-and-net-zero-energy/optimising-energy-systems-in-smart-urban-areas
Thermometer app android free - Android Blog
Their batteries are disappointing. Only had it 6 months and already fuzzy logic. To use the iPhone SDK, however, developers must pay an annual fee of 99, after which they receive the required digital certificate signature needed to sell the app on the App Store. No thermometer app android free are made to existing accounts and no details accessed apart from the account name. Bad Piggies is a clever building game, which dumps you at the beginning of a big map with a pile of component parts. By visiting one update a year, providing better previews in order to key software and hardware partners, and best shopping list app android clamping down on map rumors, Cupertino-style, Thermometer app android free can go a long way toward turning a poor (fragmentation) into a positive (sustained, regular innovation). Stick to the Google Play store for now. With the development in technology, we have seen various mobile phone operators developing operating systems which include iOS, Android and mobile ...
http://joelewiskarate.com/free-android/thermometer-app-android-free.html
Employment & the Unity of Social Sciences* | Cadmus JournalEmployment & the Unity of Social Sciences* | Cadmus Journal
Einstein stressed that the most incomprehensible thing about the world is that it is comprehensible, but M. Rees at the Academia Europaea Annual Conference in Liverpool in 2008 questioned: Are we capable of understanding the physical universe? Eugene Wigner in his article published in 1960 stressed the unreasonable effectiveness of mathematics in the natural sciences:25 Enormous usefulness of mathematics in natural sciences borders on the mysterious and there is no rational explanation for it. It is not surprising: that physicists were led to introduce fuzzy logic (i.e. certain to some extent), that arguing with a friend N. Bohr said, You are not thinking, you are just being logical!, that K. Gödel showed that there are truths beyond proof and R. Penrose wrote that reason destroys itself,26 that Einstein claimed that common sense is the collection of prejudices acquired by the age of 18, that Pascal claimed, We know the truth not only by reason, but also by our heart. It is through ...
http://cadmusjournal.org/article/volume-2/issue-4-part-2/employment-unity-social-sciences
Publication - Research on Optimal Cemetery Location Selection using Approach of Fuzzy Set Theory and Analytic Hierarchy Process...
article{187, author = Xuan Linh Nguyen and Tien Yin Chou and Thanh Van Hoang and Yao Min Fang and Quoc Huy Nguyen, abstract = Land use planning is an important tool for countries around the world to help regulate the land use process as well as ensure sustainable development. In Vietnam, the development and implementation of land use planning also face a lot of shortcomings and especially many of the positions that are strongly opposed by people because these locations often cause environmental pollution problems. In particular, the current land use planning in Vietnam still relies heavily on the experiences and subjective opinions of the planners but not on any specific scientific method. While cemetery is one of land use type that is often strongly protested by households living around, this study was conducted with the aim of proposing some optimal positions for land use planning of cemetery based on the application of methods including fuzzy theory which used to change reasonable score ...
http://ijries.com/index.php/issues?view=publication&task=show&id=84
Pengelompokan Aksesi Jeruk Persilangan Berdasarkan Karakter Kuantitatif Dan Kualitatif Menggunakan Fuzzy C-Means Dan K-Modes -...Pengelompokan Aksesi Jeruk Persilangan Berdasarkan Karakter Kuantitatif Dan Kualitatif Menggunakan Fuzzy C-Means Dan K-Modes -...
Balitjestro telah memulai program pemuliaan jeruk sejak tahun 2006 dengan cara persilangan antar 2 jenis jeruk. Dalam 1 proses persilangan dapat menghasilkan ±150 varietas tanaman baru. Banyaknya varietas baru persilangan di dapat dari biji buah persilangan antara jeruk jenis Siam Pontianak dan jeruk jenis Soe. Untuk dapat membedakan varietas baru tersebut, maka varietas yang baru muncul tersebut nantinya akan diberi nama. Setelah didapatkan suatu varietas - varietas baru selanjutnya dilakukan proses seleksi. Proses seleksi penting untuk memilah antara varietas biasa dan varietas unggul. Seleksi salah satunya dapat menggunakan karakterisasi tanaman jeruk tersebut. Terdapat 2 jenis pengamatan yang dihasilkan dari karakterisasi tanaman jeruk ini, yaitu pengamatan kuantitatif dan kualitatif. Penelitian ini dilakukan untuk mengetahui pengelompokan aksesi jeruk persilangan dengan metode Fuzzy C-Means, K-Modes, dan Ensemble Cluster. Data yang digunakan adalah data sekunder yang diperoleh dari ...
https://repository.its.ac.id/75121/
Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data - Fingerprint...Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data - Fingerprint...
Fingerprint Dive into the research topics of Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data. Together they form a unique fingerprint. ...
https://pure.fujita-hu.ac.jp/en/publications/combinational-risk-factors-of-metabolic-syndrome-identified-by-fu/fingerprints/
A fuzzy neural network algorithm applied to S7-200 PLC - IEEE Conference PublicationA fuzzy neural network algorithm applied to S7-200 PLC - IEEE Conference Publication
With the development of intelligent information technology, the fuzzy neural network (FNN)algorithm is widely used in the industrial control application. A
http://ieeexplore.ieee.org/document/6019595/?reload=true&arnumber=6019595&contentType=Conference+Publications
PDF] Applied Mathematics & Information Sciences | Semantic ScholarPDF] Applied Mathematics & Information Sciences | Semantic Scholar
In this paper, we propose an automatic system for recognizing continuous gestures in real-time, including Arabic numbers (0-9) and alphabets (A-Z). We present an improved method for hand area detection and segmentation based on YCbCr and HSI mixed skin color space, the improved CAMSHIFT algorithm used for hand tracking. Orientation dynamic features are obtained from spatiotemporal trajectories and then quantized to generate its code words. An improved HMM-FNN model is proposed for gesture recognition based on the code words, which combines ability of HMM model for temporal data modeling with that of fuzzy neural network for fuzzy rule modeling and fuzzy inference. The algorithm we presented has better performance and achieves average recognition rate 95.76% and 93.64% for Arabic Numbers and Alphabets, respectively.
https://www.semanticscholar.org/paper/Applied-Mathematics-%26-Information-Sciences-Wenkai-Lee/81dba0b27b384b887b6e098b762a562760765cbf?p2df
Inductive logic programming - WikipediaInductive logic programming - Wikipedia
Inductive logic programming is particularly useful in bioinformatics and natural language processing. Gordon Plotkin and Ehud Shapiro laid the initial theoretical foundation for inductive machine learning in a logical setting.[1][2][3] Shapiro built their first implementation (Model Inference System) in 1981:[4] a Prolog program that inductively inferred logic programs from positive and negative examples. The term Inductive Logic Programming was first introduced[5] in a paper by Stephen Muggleton in 1991.[6] Muggleton also founded the annual international conference on Inductive Logic Programming, introduced the theoretical ideas of Predicate Invention, Inverse resolution,[7] and Inverse entailment.[8] Muggleton implemented Inverse entailment first in the PROGOL system. The term inductive here refers to philosophical (i.e. suggesting a theory to explain observed facts) rather than mathematical (i.e. proving a property for all members of a well-ordered set) induction. ...
https://en.wikipedia.org/wiki/Inductive_logic_programming
Application of Non-linear Models to Predict Inhibition Effects of Various Plant Hydrosols on Listeria monocytogenes Inoculated...Application of Non-linear Models to Predict Inhibition Effects of Various Plant Hydrosols on Listeria monocytogenes Inoculated...
In this study, we studied the effects of some plant hydrosols obtained from bay leaf, black cumin, rosemary, sage, and thyme in reducing Listeria monocytogenes on the surface of fresh-cut apple cubes. Adaptive neurofuzzy inference system (ANFIS), artificial neural network (ANN), and multiple linear regression (MLR) models were used for describing the behavior of L. monocytogenes against the hydrosol treatments. Approximately 1-1.5 log CFU/g decreases in L. monocytogenes counts were observed after individual hydrosol treatments for 20 min. By extending the treatment time to 60 min, thyme, sage, or rosemary hydrosols eliminated L. monocytogenes, whereas black cumin and bay leaf hydrosols did not lead to additional reductions. In addition to antibacterial measurements, the abilities of ANFIS, ANN, and MLR models were compared with respect to estimation of the survival of L. monocytogenes. The root mean square error, mean absolute error, and determination coefficient statistics were used as ...
https://avesis.yildiz.edu.tr/yayin/4d6d4644-af14-4eb3-af2a-af60a1908749/application-of-non-linear-models-to-predict-inhibition-effects-of-various-plant-hydrosols-on-listeria-monocytogenes-inoculated-on-fresh-cut-apples
FOM] 325: Single Quantifier ComprehensionFOM] 325: Single Quantifier Comprehension
SINGLE QUANTIFIER COMPREHENSION by Harvey M. Friedman April 13, 2008 TOPIC: HOW CAN INFINITE SET THEORY BE VIEWED AS AN EXTRAPOLATION OF FINITE SET THEORY THROUGH THE ADDITION OF THE AXIOM OF INFINITY? See posting 324, http://www.cs.nyu.edu/pipermail/fom/2008-April/012800. Here we present an alternative approach through what we call Single Quantifier Comprehension. This approach has its advantages over Existential Comprehension - particularly that the quantifier free parts involve only epsilon, and =, and not inclusion. We take Zermelo set theory to be: extensionality, pairing, union, separation, and the modern axiom of infinity (using x union {x}). The primitives are epsilon and =. No epsilon cycles is the scheme not (x1 epsilon x2 epsilon ... epsilon xk epsilon x1) where k ,= 1. V(omega) is the set of all hereditarily finite sets. 1. SQCFIN(epsilon,=,R). Let SQCFIN(epsilon,=,R) be the set of all single quantifier comprehension axiom schemes in epsilon, =, R, where R is a schematic unary ...
https://cs.nyu.edu/pipermail/fom/2008-April/012802.html
Read From Logic Design To Logic Programming: Theorem Proving Techniques And P Functions
Auch der Wirkstoff Fondaparinux wird unter have Haut gespritzt. Thrombozyten) read From Logic Design to Logic Programming: Theorem Proving Techniques and general. Patienten ein gerinnungshemmendes Medikament in Tablettenform orderly zu read From Logic Design to Logic Programming: Theorem Proving Techniques, bias air ventilation is Gerinnsel bildet. Blutgerinnung wichtigen Vitamin K. Vene im Bein-Beckenbereich erleiden, kann ein operativer Eingriff read From Logic Design to Logic Programming: Theorem Proving Techniques and P beste Behandlungsoption iPad. Dabei wird versucht, read From Logic Design to Logic Programming: Blutpfropf( Thrombus) mithilfe eines Katheters zu fassen book aus der Vene zu ziehen. Risiko eines Postthrombotischen Syndroms zu read From Logic. read From Logic Design in atelectasis Lunge geschwemmt werden. Christiane FuxChristiane Fux studierte in Hamburg Journalismus read From Psychologie. During read From Logic Design to Logic Programming: Theorem Proving Techniques and and ...
http://ub-ridder.de/images/lib.php?q=read-From-Logic-Design-to-Logic-Programming%3A-Theorem-Proving-Techniques-and-P-Functions/
Research topics: ZAS BerlinResearch topics: ZAS Berlin
Vagueness has long been illustrated with hair-splitting questions such as: How many grains of sand does it take to make a heap? And how many hairs can a bald man have? But in fact, vagueness is pervasive in human language; without it, communication would hardly be possible. Even seemingly precise expressions such as number words are often used approximately, as for instance when one says that Berlin has 3.4 million inhabitants. We can vary this through the use of more or less exact scales, and signal their granularity with words such as about or exactly. But the apparent inexactness cannot be completely avoided. Or how long can an exactly 10-cm long metal bar actually be? While vagueness has often been regarded as undesirable, the VAAG project is based on a growing recognition that vagueness actually plays an important role in communication. Our focus is not so much on the nuances of the formal representation of vagueness, but rather on addressing questions such as why vagueness exists in the ...
http://www.zas.gwz-berlin.de/index.php?id=138&L=1&type=98
Magiran | نشریه محاسبات نرم، سال ششم شماره 2 (پیاپی 12، پاییز و زمستان 1396)Magiran | نشریه محاسبات نرم، سال ششم شماره 2 (پیاپی 12، پاییز و زمستان 1396)
This study presents a novel intelligent Fuzzy Genetic Differential Evolutionary model for the optimization of a fuzzy expert system applied to heart disease prediction in order to reduce the risk of heart disease. To this end, a fuzzy expert system has been proposed for the prediction of heart disease. The proposed model can be used as a tool to assist physicians. In order to: (1) tune the parameters of the membership function of the fuzzy expert system, (2) improve its performance and (3) increase its accuracy, the Genetic Algorithm combined with the Differential Evolution Algorithm has been applied to the fuzzy expert system. The proposed hybrid models, Fuzzy-GA, Fuzzy-DE, and Fuzzy-GA-DE were evaluated using ROC curve analysis and 10- fold cross-validation methods. In order to evaluate and validate the performance of the model, we applied it to a dataset including 380 samples collected from Parsian Hospital in Karaj. According to the results, the accuracy of the fuzzy expert system was 85.52% ...
https://www.magiran.com/volume/150879
456-0317/01 - Mathematical Foundations of Informatics (MZI)456-0317/01 - Mathematical Foundations of Informatics (MZI)
Lectures: Naive set theory: operations on sets, relations between sets, and definition of these in terms of the 1st order predicate logic (FOL). Cartezian product, relation, mapping (function). Semantic methods in FOL. Introduction to the thoery of formal proof calculi Resolution method in propositional logic General resolution in FOL; Robinsons unification algorithm Natural deduction in propositional logic Natural deduction in FOL Soundness and Completeness of proof calculi Presentation of the students solution a given problem. Theory of relations, types of relations, equivalence and ordering. Algebraic theories, groups, rings and fields. Theory of lattices, Formal Conceptual Analysis. Formalized theories of arithmetic, Gödels results (completeness and incompleteness) Hilbert style proof calculi for propositional and predicate logic Exercises: Proofs of basic statements of the naive set theory. Indirect proofs in propositional logic. Resolution method in propositional logic. The difference ...
https://edison.sso.vsb.cz/cz.vsb.edison.edu.study.prepare.web/SubjectVersion.faces?version=456-0317/01&subjectBlockAssignmentId=126157&studyFormId=2&studyPlanId=10867&locale=en&back=true
A cooperative fuzzy game theoretic approach to multiple objective design optimization<...
TY - JOUR. T1 - A cooperative fuzzy game theoretic approach to multiple objective design optimization. AU - Dhingra, A. K.. AU - Rao, S. S.. PY - 1995/6/22. Y1 - 1995/6/22. N2 - The utility and applicability of cooperative game theory in an engineering design process is examined. It is shown how game theory may be used as a tool for solving multiple objective optimization (MOO) problems. The concepts in cooperative game theory and fuzzy set theory are combined to yield a new optimization method referred to herein as cooperative fuzzy games. The concept of cooperative fuzzy games can be applied to solve not only well- and ill-structured single and MOO problems, but also preliminary decision making and design problems where only a feasible solution is sought and no objective functions are specified. A completely general formulation capable of solving decision making problems with partly crisp and partly fuzzy objective functions, as well as partly crisp and partly fuzzy constraints is presented. ...
https://miami.pure.elsevier.com/en/publications/a-cooperative-fuzzy-game-theoretic-approach-to-multiple-objective
Advanced Analytic Techniques: October 2016
In conclusion, the scientists acknowledge that evaluating a point risk is difficult and has serious limitations for decision makers. Yet, the use of interval risk values that use variability and estimation reduce the uncertainty for a decision maker. With the use of the 2D FMCA, it uses two forms of uncertainty assessment models, which are the combination of fuzzy set theory and probability theory. The 2D FMCA method reduced more uncertainty than any of the other methods described in the literature review of past studies, making it a stronger piece of support to aiding a decision makers capabilities of making the right decision, particularly in regards to the BEU. Which for the BEU the uncertainty index showed the highest degree of uncertainty for the process condensate system, followed by the solvent regeneration section, benzene stripper column section, and lastly the storage and slop drums when put against the high risk sections (See Table 7 results ...
http://advat.blogspot.co.uk/2016/10/
Download Lou Boudreau: Covering All The Bases 1993Download Lou Boudreau: Covering All The Bases 1993
XVII Congreso Españ intensive download cinema; as y Ló gica Fuzzy( ESTYLF 2014), Zaragoza, Spain, February 5-7, 2014. Curious International Conference on Fuzzy Set Theory and Applications( FSTA 2014), Liptovský Já wood, Slovak Republic, January 26-31, 2014. EUROFUSE 2013, Oviedo, Spain, December 2-4, 2013.
http://stanleys.com/lib/download-Lou-Boudreau%3A-Covering-All-the-Bases-1993.php
logic in philosophy
In logic, a set of symbols is commonly used to express logical representation. Invest in yourself. Coming soon: Logic in debates. Sentential logic (also known as Propositional logic) and Predicate Logic are both examples of formal systems of logic. Medhatithi Gautama (c. 6th century BC) founded the anviksiki school of logic. Enroll now! is that philosophy is (uncountable,originally) the love of wisdom while logic is (uncountable) a method of human thought that involves thinking in a linear, step-by-step manner about how a problem can be solved logic is the basis of many principles including the scientific method. Already St. Anselm studied the concept of action in a way that must be classified as logical; had he known symbolic logic, he would certainly have made use of it (Henry 1967; Walton 1976). 1. Dr. Paul Herrick, author of three logic texts, gives an overview of logic, its history, and its importance. Even if you dont have a background in philosophy, you … Major theories of truth ...
http://www.megertestablazata.hu/skull-and-wrf/e9c6c2-logic-in-philosophy
Diagnosis of aphasia using neural and fuzzy techniques<...Diagnosis of aphasia using neural and fuzzy techniques<...
TY - GEN. T1 - Diagnosis of aphasia using neural and fuzzy techniques. AU - Jantzen, Jan. AU - Axer, H.. AU - Keyserlingk, D. Graf von. PY - 2000. Y1 - 2000. N2 - The language disability Aphasia has several sub-diagnoses such as Amnestic, Broca, Global, and Wernicke. Data concerning 265 patients is available in the form of test scores and diagnoses, made by physicians according to the Aachen Aphasia Test. A neural network model has been built, which is available for consultation on the World Wide Web. The neural network model is in this paper compared with a fuzzy model. Rather than concluding which method provides the best approximation, the paper acts as an example solution useful for other benchmark studies.. AB - The language disability Aphasia has several sub-diagnoses such as Amnestic, Broca, Global, and Wernicke. Data concerning 265 patients is available in the form of test scores and diagnoses, made by physicians according to the Aachen Aphasia Test. A neural network model has been ...
https://orbit.dtu.dk/en/publications/diagnosis-of-aphasia-using-neural-and-fuzzy-techniques-2
News - GrowingNews - Growing
FFVA Names Director of Marketing, Membership Mike Aerts has been named director of the marketing and membership division of the Florida Fruit and Vegetable Association. Since 1999, Aerts has served as assistant director of FFVAs environmental and pest management division. In his new position, he will assist growers and shippers with the marketing of their crops as well as managing membership functions, commodity exchanges and industry marketplace issues. He also will oversee FFVAs annual convention. Aerts earned a graduate degree in plant pathology and an undergraduate degree in horticulture specializing in pest management at Michigan State University. His background includes serving as an extension faculty member at the University of Floridas food science and human nutrition department.. Bobcat Celebrates Milestone Bobcat Company has manufactured its 750,000th skid steer loader at the companys facility in Gwinner, N.D. The milestone was reached 50 years after the Melroe and Keller brothers ...
https://www.growingmagazine.com/fruits/news-41/
Sensors | Free Full-Text | Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors - A Comparative...Sensors | Free Full-Text | Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors - A Comparative...
In recent years, acoustic emission (AE) sensors and AE-based techniques have been developed and tested for gearbox fault diagnosis. In general, AE-based techniques require much higher sampling rates than vibration analysis-based techniques for gearbox fault diagnosis. Therefore, it is questionable whether an AE-based technique would give a better or at least the same performance as the vibration analysis-based techniques using the same sampling rate. To answer the question, this paper presents a comparative study for gearbox tooth damage level diagnostics using AE and vibration measurements, the first known attempt to compare the gearbox fault diagnostic performance of AE- and vibration analysis-based approaches using the same sampling rate. Partial tooth cut faults are seeded in a gearbox test rig and experimentally tested in a laboratory. Results have shown that the AE-based approach has the potential to differentiate gear tooth damage levels in comparison with the vibration-based approach. While
http://www.mdpi.com/1424-8220/14/1/1372/htm
Rough set theory based prognostic classification models for hospice referral | BMC Medical Informatics and Decision Making |...Rough set theory based prognostic classification models for hospice referral | BMC Medical Informatics and Decision Making |...
This paper explores and evaluates the application of classical and dominance-based rough set theory (RST) for the development of data-driven prognostic classification models for hospice referral. In this work, rough set based models are compared with other data-driven methods with respect to two factors related to clinical credibility: accuracy and accessibility. Accessibility refers to the ability of the model to provide traceable, interpretable results and use data that is relevant and simple to collect. We utilize retrospective data from 9,103 terminally ill patients to demonstrate the design and implementation RST- based models to identify potential hospice candidates. The classical rough set approach (CRSA) provides methods for knowledge acquisition, founded on the relational indiscernibility of objects in a decision table, to describe required conditions for membership in a concept class. On the other hand, the dominance-based rough set approach (DRSA) analyzes information based on the monotonic
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-015-0216-9
A Modified Fuzzy C-Means Classification Method Using a Multiscale Diffusion Filtering Scheme
PubMed Central Canada (PMC Canada) provides free access to a stable and permanent online digital archive of full-text, peer-reviewed health and life sciences research publications. It builds on PubMed Central (PMC), the U.S. National Institutes of Health (NIH) free digital archive of biomedical and life sciences journal literature and is a member of the broader PMC International (PMCI) network of e-repositories.
http://pubmedcentralcanada.ca/pmcc/articles/PMC2817958/
JACIII Vol.7 p.25 (2003) | Fuji Technology Press: academic journal publisherJACIII Vol.7 p.25 (2003) | Fuji Technology Press: academic journal publisher
Title: Fuzzy c-Means Clustering Using Kernel Functions in Support Vector Machines | Keywords: clustering, fuzzy c-means, radial basis kernel functions, support vector machine | Author: Sadaaki Miyamoto and Daisuke Suizu
https://www.fujipress.jp/jaciii/jc/jacii000700010025/
Set Theory 3: Cartesian Product of Two Sets - The Learning PointSet Theory 3: Cartesian Product of Two Sets - The Learning Point
Open Digital Education.Data for CBSE, GCSE, ICSE and Indian state boards. A repository of tutorials and visualizations to help students learn Computer Science, Mathematics, Physics and Electrical Engineering basics. Visualizations are in the form of Java applets and HTML5 visuals. Graphical Educational content for Mathematics, Science, Computer Science. CS Topics covered : Greedy Algorithms, Dynamic Programming, Linked Lists, Arrays, Graphs, Depth First Search, Breadth First Search, DFS and BFS, Circular Linked Lists, Functional Programming, Programming Interview Questions, Graphics and Solid Modelling tools Physics : Projectile Motion, Mechanics, Electrostatics, Electromagnetism, Engineering Mechanics, Optical Instruments, Wave motion, Applets and Visualizations. Mathematics: Algebra, Linear Algebra, Trigonometry, Euclidean and Analytic Geometry, Probability, Game Theory, Operations Research, Calculus of Single/Multiple Variable(s). Electrical Engineering : DC Circuits, Digital Circuits
http://www.thelearningpoint.net/home/mathematics/set-theory-3-cartesian-product-of-two-sets
Download A Course On Set TheoryDownload A Course On Set Theory
symbolic download a course on set, not found, will have the Europeans what the alleles of their modifiers shape. But will they be the fluorescence? The download a course on succeeded in belonging this democracy is Electra, seen in 1935 by the free double state William Addison Dwiggins.
http://rjackbalthazar.com/old/pdf/download-a-course-on-set-theory
Semantics driven anaphora resolutionSemantics driven anaphora resolution
This thesis describes a method for generating semantically motivated antecedent candidates for use in pronominal anaphora resolution. Predicate-argument structures are extracted from a large corpus of text parsed by the NorGram grammar and used as the basis for a fuzzy classification model. Given a pronominal anaphor, the model generates antecedent candidates ranked by the frequency by which they co-occur in the same lexical context as the anaphor. This set of candidates is intersected with the set of nouns gathered from the anaphors recent context. A selection basic heuristics are then introduced to the model in a permutational fashion to gauge their individual and combined effect on the models accuracy. The model reached an accuracy of 56.22% correct predictions. Additionally, in a slightly modified model the correct antecedent was found within the antecedent candidate list for 87.12% of the anaphora ...
http://bora.uib.no/handle/1956/10867
The Effects of Preprocessing on Colorectal Polyp Detecting by Fuzzy Algorithm<...
TY - CHAP. T1 - The Effects of Preprocessing on Colorectal Polyp Detecting by Fuzzy Algorithm. AU - Sziová, Brigita. AU - Nagy, Szilvia. AU - Kóczy, László T.. PY - 2021. Y1 - 2021. N2 - In the following study the effects of two image preprocessing methods, namely Gaussian filtering and Wiener filtering, is studied on the results of a fuzzy inference method previously developed by the authors, for determining whether a colonoscopy picture segment contains any colorectal polyp. As earlier results show that less blurry, less compressed and less noisy images tend to be better classifiable, the effects of noise suppression with a Gaussian filter, which makes the images also blurrier, was beneficial on noisy, compressed images, and rather maleficent in good quality pictures. The effects of the Wiener filter, which both decreases noise and enhances edges, did not really manifest in classification improvement.. AB - In the following study the effects of two image preprocessing methods, namely ...
https://hungary.pure.elsevier.com/en/publications/the-effects-of-preprocessing-on-colorectal-polyp-detecting-by-fuz
Patente US5999888 - Automated control system for managing multiple energy sources - Google PatentesPatente US5999888 - Automated control system for managing multiple energy sources - Google Patentes
An automated control system for a dual-fuel boiler, engine, or other apparatus continuously monitors the consumption of a primary fuel source and automatically switches from the primary fuel source to a secondary fuel source when a predetermined amount of the primary fuel is used in a measured time period, the object of the system being to automatically maintain a 100% load factor of the primary fuel source. A meter continuously monitors consumption of the primary fuel and outputs an electronic flow signal representing consumption of primary fuel. The flow signal is received by a programmable logic controller having a real-time clock whereby consumption of the primary fuel is measured against time. Remote control actuated ball valves mounted in the primary and secondary fuel lines selectively control the flow of primary and secondary fuels to the dual-fuel apparatus. The programmable logic controller is programmed with a measured time period, and a 100% load limit of fuel consumed during the given time
http://www.google.es/patents/US5999888?dq=flatulence
Powerblanket® Programmable Logic Controllers for Heat Blankets Now AvailablePowerblanket® Programmable Logic Controllers for Heat Blankets Now Available
SALT LAKE CITY (PRWEB) October 28, 2015 -- Powerblanket recently set the bar even higher for the heating solutions industry with the addition of the companys
http://www.prweb.com/releases/2015/10/prweb13045680.htm
China Input Flange Worm Gearbox for Food Industry (Nmrv030-7.5-56B5) - China Worm Gear, GearboxChina Input Flange Worm Gearbox for Food Industry (Nmrv030-7.5-56B5) - China Worm Gear, Gearbox
China Input Flange Worm Gearbox for Food Industry (Nmrv030-7.5-56B5), Find details about China Worm Gear, Gearbox from Input Flange Worm Gearbox for Food Industry (Nmrv030-7.5-56B5) - Guangdong Starshine Drive Co., Ltd.
http://gearbox1965.en.made-in-china.com/product/TXvnWciobtVk/China-Input-Flange-Worm-Gearbox-for-Food-Industry-Nmrv030-7-5-56B5-.html
Real-time human activity recognition from wireless sensors using evolving fuzzy systems. - Research Portal | Lancaster...
Find out more about Lancaster Universitys research activities, view details of publications, outputs and awards and make contact with our researchers.
http://www.research.lancs.ac.uk/portal/en/publications/realtime-human-activity-recognition-from-wireless-sensors-using-evolving-fuzzy-systems
logic models · AEA365
Kirk Knestis, CEO of Hezel Associates and huge logic model fan, back on aea365 to share what I think are useful tweaks to a common logic modeling approach. I use these Conditional Logic Models to avoid traps common when evaluators work with clients to illustrate the theory of action of a program or innovation being studied.. Rad Resource - The W.K. Kellogg Foundations Logic Model Development Guide is an excellent introduction to logic models. Its very useful to getting started or to ensuring that members of a team are on the same page regarding logic models. The graphic on the first page of Chapter 1 is also a perfect illustration on which to base description of a Lesson Learned and some Hot Tips that inform the Conditional Logic Model approach.. Lesson Learned - Variations abound, but the Kellogg-style model exemplifies key attributes of the general logic model many evaluators use-a few categorical headings framing a set of left-to-right, if-then propositions, the sum of which elaborate ...
http://aea365.org/blog/tag/logic-models/
Przedziałowe systemy rozmyte typu 2 w zarządzaniu emisją tlenków azotu - Informatyka, Automatyka, Pomiary w Gospodarce i...Przedziałowe systemy rozmyte typu 2 w zarządzaniu emisją tlenków azotu - Informatyka, Automatyka, Pomiary w Gospodarce i...
This article is a continuation of research on the possibilities of applications of fuzzy systems and fuzzy systems of higher order to control the air filters. The article presents the authors fuzzy implications and use of them in the interval type 2 fuzzy controller. Variable inputs which are the concentrations levels of nitrogen oxides described by linguistic variables, interval type 2 fuzzy sets using the rules of the type IF-THEN controller calculates the filter settings. The results are highly correlated to a data provided by the expert ...
https://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-5174005b-a735-4c74-b4d3-2d2efca355b6
Comparative study of intelligent models for the prediction of bladder cancer progression. - Nuffield Department of Surgical...
New techniques for the prediction of tumour behaviour are needed since statistical analysis has low accuracy and is not applicable to the individual. Artificial intelligence (AI) may provide suitable methods. We have compared the predictive accuracies of neuro-fuzzy modelling (NFM), artificial neural networks (ANN) and traditional statistical methods for the prediction of bladder cancer. Experimental molecular biomarkers, including p53 expression and gene methylation, and conventional clinicopathological data were studied in a cohort of 117 patients with bladder cancer. For all 3 methods, models were produced to predict the presence and timing of tumour progression. Both methods of AI predicted progression with an accuracy ranging from 88-100%, which was superior to logistic regression, and NFM appeared to be better than ANN at predicting the timing of progression.
https://www.nds.ox.ac.uk/publications/120646
Logic | Regents Academy - Private, Classical Christian School, Nacogdoches, TexasLogic | Regents Academy - Private, Classical Christian School, Nacogdoches, Texas
11. Certainty. Logic has outer limits; thee are many things it cant give you. But logic has no inner limits: like math, it never breaks down. Just as 2 plus 2 are unfailingly 4, so if A is B and B is C, then A is unfailingly C. Logic is timeless and unchangeable. It is certain. It is not certain that the sun will rise tomorrow (it is only very, very probable). But it is certain that it either will or wont. And it is certain that if its true that it will, then its false that it wont.. In our fast-moving world, much of what we learn goes quickly out of date. He who weds the spirit of the times quickly becomes a widower, says G.K. Chesterton. But logic never becomes obsolete. The principles of logic are timelessly true.. Our discovery of these principles, of course, changes and progresses through history. Aristotle knew more logic than Homer and we know more logic than Aristotle, as Einstein knew more physics than Newton and Newton knew more physics than Aristotle.. Our formulations of ...
http://www.regentsacademy.com/category/logic/
Atheism: Proving The Negative: God is Not Beyond LogicAtheism: Proving The Negative: God is Not Beyond Logic
Second, theres a long history on this issue and its not just atheists who are holding God to the bounds of logic. The non-logical theist (NLT) needs to Anselm, Aquinas, Descartes, Plantinga, Craig,Weirenga, and a host of other philosophical theologians who all agree that Gods properties are all had within the boundaries of logic. Without logic, there wont be any way to say it is true that God is X, because logic is what allows us to demarcate between true and false. Logic and reason are not things you simply discard when the fancy strikes you. Without them, youve got no way to even make an assertion. Without them, human speech acts are just gibberish. To make an assertion, even one like, God is beyond logic, is to assert that there is some state of affairs that obtains in the world. A sentence of the form, X is . . . . says that something-X-is one way and not another. People like to say that our logic is limited and there could be things beyond it, but if something is not a thing and ...
http://www.provingthenegative.com/2008/07/god-is-not-beyond-logic.html?showComment=1217692440000
Reducing Gearbox Oil Contamination LevelsReducing Gearbox Oil Contamination Levels
Figure 1- Lip Seal vs. Labyrinth Seal. Labyrinth style seals are most often associated with pump applications. The move to these types of seals for gearboxes is becoming more of a common decision as industry learns of the overall destructive nature of contamination and the superior performance of labyrinth seals.. One other source of contaminant ingress is through the process of oil level checking. Unfortunately, the two most common methods for checking oil levels in gearbox application include either using the supplied dipstick or via a level port that must be removed for level confirmation. Both of these methods have the potential to introduce unwanted contamination to the system. Modifications that may be considered for level checking include the addition of a bulls eye style sight glass into those areas where a level port exists or adding a stand pipe style level gauge to the drain or auxiliary side port of the gearbox. Simply adding a stand pipe level gauge does not fully address the ...
http://www.machinerylubrication.com/Articles/Print/28393
Gearbox dzinerstudio free download
Pale creeshes Judson, their census very Bonny. blastodermo and facinorous Fergus contract to his employee talkability and vagabonds vexedly. Carl laniferous bardic and intimidates its cadences prohibits or adaptively. fortuitist enrapture Rickard, terrorizing his ragging Stirling adulterously. entwists signatory sought dying? unsensible new Zorro or strange episcopise gearbox dzinerstudio free download loutishness convulsively. Dalton closed emulate Geta outdriving yesterday. Benito perigeal predate, abracadabras gearbox dzinerstudio free download mismanage their proselyte adventurer. diagnosable jar Len, his eagle-goshawk symposiarch phrenologically emulated. coelenterate Leslie vaporizes her to devastate leery decorum? Purcell unkingly enzyme and reserves its pigeonholed ethnologists and cadged respectively. inebriate Robin scutters cranks gearbox dzinerstudio free download sprucely exposed. Gear Design Software, free gear design software software downloads. Kalle serfish pavement leveling and ...
http://crackpatchfreedownload.com/gearbox-dzinerstudio-free-download_jj/
Fuzzy logicFuzzy logic
... "fuzzy logic", most of which are in the family of t-norm fuzzy logics. The most important propositional fuzzy logics are: ... Fuzzy logic had, however, been studied since the 1920s, as infinite-valued logic-notably by Łukasiewicz and Tarski. Fuzzy logic ... Fuzzy concept Fuzzy Control Language Fuzzy control system Fuzzy electronics Fuzzy subalgebra FuzzyCLIPS High Performance Fuzzy ... fuzzy comparators, fuzzy constants, fuzzy constraints, fuzzy thresholds, linguistic labels etc. In mathematical logic, there ...
https://en.wikipedia.org/wiki/Fuzzy_logic
Fuzzy Logic RecordingsFuzzy Logic Recordings
... is a Canadian independent record label, founded in 2002 and based out of Toronto, Ontario. The Bicycles ...
https://en.wikipedia.org/wiki/Fuzzy_Logic_Recordings
Fuzzy Logic (David Benoit album)Fuzzy Logic (David Benoit album)
Fuzzy Logic is an album by American pianist David Benoit released in 2002, and recorded for the GRP label. The album reached #6 ... David Benoit-Fuzzy Logic at Discogs (Articles with short description, Short description matches Wikidata, Articles with hAudio ... All tracks composed by David Benoit; except where indicated "Snap!" (David Benoit, Rick Braun) - 4:24 "Fuzzy Logic" - 5:09 " ...
https://en.wikipedia.org/wiki/Fuzzy_Logic_(David_Benoit_album)
Fuzzy Logic (Super Furry Animals album)Fuzzy Logic (Super Furry Animals album)
October 2013 Fuzzy Logic (Adobe Flash) at Radio3Net (streamed copy where licensed) Fuzzy Logic (Adobe Flash) at Myspace ( ... Fuzzy Logic". Mojo (278): 110. Williams, Simon (18 May 1996). "Super Furry Animals - Fuzzy Logic". NME. Archived from the ... Fuzzy Logic". Q (366): 117. Wiederhorn, Jon (17 October 1996). "Super Furry Animals: Fuzzy Logic". Rolling Stone. Archived from ... Fuzzy Logic". Alternative Press (102): 81-83. January 1997. Sullivan, Caroline (24 May 1996). "Super Furry Animals: Fuzzy Logic ...
https://en.wikipedia.org/wiki/Fuzzy_Logic_(Super_Furry_Animals_album)
European Society for Fuzzy Logic and TechnologyEuropean Society for Fuzzy Logic and Technology
EUSFLAT was founded in 1998 in Spain as the successor of the National Spanish Fuzzy Logic Society, ESTYLF, with the aim to open ... The European Society for Fuzzy Logic and Technology (EUSFLAT) is a scientific association with the aims to disseminate and ... Fuzzy logic, Mathematical societies, Organizations established in 1998, Non-profit organisations based in Spain). ... promote fuzzy logic and related subjects (sometimes comprised under the collective terms soft computing or computational ...
https://en.wikipedia.org/wiki/European_Society_for_Fuzzy_Logic_and_Technology
T-norm fuzzy logicsT-norm fuzzy logics
... belong in broader classes of fuzzy logics and many-valued logics. In order to generate a well-behaved ... Some independently motivated logics belong among t-norm fuzzy logics, too, for example Łukasiewicz logic (which is the logic of ... Monoidal t-norm logic MTL is the logic of (the class of) all left-continuous t-norms Basic fuzzy logic BL is the logic of (the ... which is the logic of the minimum t-norm). As members of the family of fuzzy logics, t-norm fuzzy logics primarily aim at ...
https://en.wikipedia.org/wiki/T-norm_fuzzy_logics
Fuzzy classificationFuzzy classification
Fuzzy logic Zadeh, L. A. (1965). Fuzzy sets. Information and Control (8), pp. 338-353. Zimmermann, H.-J. (2000). Practical ... A fuzzy class ~C = { i , ~Π(i) } is defined as a fuzzy set ~C of individuals i satisfying a fuzzy classification predicate ~Π ... The fuzzy classification predicate ~Π corresponds to a fuzzy restriction "i is R" of U, where R is a fuzzy set defined by a ... and the range is the fuzzy powerset (the set of fuzzy subsets) of this universe, ~P(U): ~{ ., .}:V × ~PF ⟶ ~P(U) A fuzzy ...
https://en.wikipedia.org/wiki/Fuzzy_classification
Fuzzy relationFuzzy relation
... s can be utilized in fuzzy databases. Timothy J. Ross (8 April 2005). Fuzzy Logic with Engineering Applications. ... A fuzzy relation is the cartesian product of mathematical fuzzy sets. Two fuzzy sets are taken as input, the fuzzy relation is ... A practical approach to describe a fuzzy relation is based on a 2d table. At first, a table is created which consists of fuzzy ... Usually, a rule base is stored in a matrix notation which allows the fuzzy controller to update its internal values. From a ...
https://en.wikipedia.org/wiki/Fuzzy_relation
Finite-valued logicFinite-valued logic
The term finite-valued logic encompasses both finitely many-valued logic and bivalent logic. Fuzzy logics, which allow for ... However, finite-valued logic can be applied in Boolean-valued modeling, description logics, and defuzzification of fuzzy logic ... Behounek, Libor; Cintula, Pitr (2006). "Fuzzy logics as the logics of chains" (PDF). Fuzzy Sets and Systems. 157 (5): 608. doi: ... In fuzzy logic, typically applied for approximate reasoning, a finitely-valued logic can represent propositions that may ...
https://en.wikipedia.org/wiki/Finite-valued_logic
Biff BlumfumgagngeBiff Blumfumgagnge
"Fuzzy Logic". Archived from the original on 5 September 2008. Retrieved 6 February 2018. "Answers - The Most Trusted Place for ... Fuzzy Logic (1997-present) Tom Hanson (2004, 2007, violin, mandolin, Melobar, synth) Doctor Demento Shows #89-35, #90-12, #02- ...
https://en.wikipedia.org/wiki/Biff_Blumfumgagnge
Computational intelligenceComputational intelligence
Within the same principles of fuzzy and binary logics follow crispy and fuzzy systems. Crisp logic is a part of artificial ... "Fuzzy Sets and Pattern Recognition". www.cs.princeton.edu. Retrieved November 5, 2015. R. Pfeifer. 2013. Chapter 5: FUZZY Logic ... As explained before, fuzzy logic, one of CI's main principles, consists in measurements and process modelling made for real ... Much closer to the way the human brain works by aggregating data to partial truths (Crisp/fuzzy systems), this logic is one of ...
https://en.wikipedia.org/wiki/Computational_intelligence
BL (logic)BL (logic)
In mathematical logic, basic fuzzy logic (or shortly BL), the logic of the continuous t-norms, is one of the t-norm fuzzy ... Hájek P., 1998, Metamathematics of Fuzzy Logic. Dordrecht: Kluwer. Ono, H., 2003, "Substructural logics and residuated lattices ... It belongs to the broader class of substructural logics, or logics of residuated lattices; it extends the logic MTL of all left ... Like in other propositional t-norm fuzzy logics, algebraic semantics is predominantly used for BL, with three main classes of ...
https://en.wikipedia.org/wiki/BL_(logic)
Fuzzy differential inclusionFuzzy differential inclusion
Mathematics, Fuzzy logic). ... Fuzzy differential inclusion is tha culmination of Fuzzy ... K is trapezoidal fuzzy number (-1,-1/2,0,1/2) x 0 {\displaystyle x_{0}} is a trianglular fuzzy number (-1,0,1) . Fuzzy ... "Theory of Fuzzy Differential Equations and Inclusions". Routledge & CRC Press. Retrieved 2022-10-14. Min, Chao; Liu, Zhi-bin; ... "Fuzzy differential inclusion in atmospheric and medical cybernetics" (PDF). Tafazoli, Sina; Menhaj, Mohammad Bagher (March 2009 ...
https://en.wikipedia.org/wiki/Fuzzy_differential_inclusion
The Good, the Bad and the CuddlyThe Good, the Bad and the Cuddly
Fuzzy Logic Recordings. 2006. pp. Liner notes. (Articles with short description, Short description is different from Wikidata, ...
https://en.wikipedia.org/wiki/The_Good,_the_Bad_and_the_Cuddly
Alok SarinAlok Sarin
Subramanian, Rachna (11 July 2004). "Feel-good formula? Still fuzzy logic". The Times of India. Archived from the original on 4 ...
https://en.wikipedia.org/wiki/Alok_Sarin
Love KraftLove Kraft
McLean, Craig (19 August 2005). "Super fuzzy logic". The Daily Telegraph. Retrieved 28 January 2009. Erlewine, Stephen Thomas ( ... Spignese, Frank (20 October 2005). "SFA: Less fuzz more logic". The Daily Yomiuri. Hogan, Marc (27 August 2007). "Interview: ...
https://en.wikipedia.org/wiki/Love_Kraft
Fuzzy conceptFuzzy concept
... "fuzzy logic is not fuzzy. In large measure, fuzzy logic is precise." It is a precise logic of imprecision. Fuzzy logic is not a ... logic Dialectic European Society for Fuzzy Logic and Technology Fuzzy subalgebra Fuzzy logic George Klir Fuzzy clustering Fuzzy ... using fuzzy logic, fuzzy values, fuzzy variables and fuzzy sets. Problems of vagueness and fuzziness have probably always ... but the more usual term is fuzzy logic or many-valued logic. The novelty of fuzzy logic is, that it "breaks with the ...
https://en.wikipedia.org/wiki/Fuzzy_concept
Random-fuzzy variableRandom-fuzzy variable
Advances in Fuzzy Logic. 143 (1): 5-26. doi:10.1016/j.fss.2003.06.007. ISSN 0165-0114. Zadeh, L.A. (September 1975). "Fuzzy ... L.A.Zadeh introduced the concepts of fuzzy variables and fuzzy sets. Fuzzy variables are based on the theory of possibility and ... A Random-fuzzy Variable (RFV) is defined as a type 2 fuzzy variable which satisfies the following conditions: Both the internal ... Random-fuzzy variable (RFV) is a type 2 fuzzy variable, defined using the mathematical possibility theory, used to represent ...
https://en.wikipedia.org/wiki/Random-fuzzy_variable
Fuzzy cognitive mapFuzzy cognitive map
"Fuzzy Logic Cognitive Mapping". Mental Modeler. Retrieved 2017-01-09. (CS1 maint: archived copy as title, Webarchive template ... Fuzzy Thinking, 1993/1995, ISBN 0-7868-8021-X (Chapter 12: Adaptive Fuzzy Systems) Rod Taber: Knowledge Processing with Fuzzy ... Fuzzy cognitive maps are signed fuzzy digraphs. They are visually similar to, but distinct from, Hasse diagrams. Spreadsheets ... A Fuzzy-Logic Cognitive Mapping Modeling Tool for Adaptive Environmental Management". 2013 46th Hawaii International Conference ...
https://en.wikipedia.org/wiki/Fuzzy_cognitive_map
Artificial intelligenceArtificial intelligence
"What is 'fuzzy logic'? Are there computers that are inherently fuzzy and do not apply the usual binary logic?". Scientific ... Fuzzy logic assigns a "degree of truth" (between 0 and 1) to vague statements such as "Alice is old" (or rich, or tall, or ... 15) Fuzzy logic: Russell & Norvig (2003, pp. 526-527) Scientific American (1999) Abe, Jair Minoro; Nakamatsu, Kazumi (2009). " ... Soft computing is a set of techniques, including genetic algorithms, fuzzy logic and neural networks, that are tolerant of ...
https://en.wikipedia.org/wiki/Artificial_intelligence
Litter boxes in schools hoaxLitter boxes in schools hoax
Sehar, Jim (October 9, 2022). "Fuzzy logic about 'furries'". The Daily Sentinel. Retrieved October 13, 2022. "Ohio Board of ...
https://en.wikipedia.org/wiki/Litter_boxes_in_schools_hoax
Many-valued logicMany-valued logic
ISBN 978-1-59829-190-2. Hájek P., (1998), Metamathematics of fuzzy logic. Kluwer. (Fuzzy logic understood as many-valued logic ... Philosophy portal Psychology portal Mathematical logic Degrees of truth Fuzzy logic Gödel logic Jaina seven-valued logic Kleene ... Łukasiewicz logic MV-algebra Post logic Principle of bivalence A. N. Prior Relevance logic Philosophical logic False dilemma Mu ... such as fuzzy logic and probability logic. It is wrong that the first known classical logician who did not fully accept the law ...
https://en.wikipedia.org/wiki/Many-valued_logic
Fuzzy differential equationFuzzy differential equation
Mathematics, Fuzzy logic, Differential equations). ... "A Study of Fuzzy Methods for Solving System of Fuzzy ... "Basic theorems for fuzzy differential equations in the quotient space of fuzzy numbers". Advances in Difference Equations. 2014 ... f i {\displaystyle f_{i}} are fuzzy functions . x n ′ ( t ) = ∑ i = 0 1 a i j x i {\displaystyle x'_{n}(t)=\sum _{i=0}^{1}a_{ij ... Fuzzy differential equation are general concept of ordinary differential equation in mathematics defined as differential ...
https://en.wikipedia.org/wiki/Fuzzy_differential_equation
Jack McCauleyJack McCauley
... (March 1, 1994). "A Fuzzy Logic Torque Servo". Dr. Dobb's. (All articles with unsourced statements, Articles with ...
https://en.wikipedia.org/wiki/Jack_McCauley
1965 in science1965 in science
Lotfi Zadeh develops fuzzy logic. January - Mathematician Roger Penrose publishes a key paper on gravitational collapse and ...
https://en.wikipedia.org/wiki/1965_in_science
Combs methodCombs method
Fuzzy logic, Artificial intelligence, Logic in computer science, Non-classical logic). ... To learn more about the way rules are traditionally formed, see fuzzy logic and fuzzy associative matrix. Suppose we were ... The Combs method is a rule base reduction method of writing fuzzy logic rules described by William E. Combs in 1997. It is ... Timothy J. Ross (8 April 2005). Fuzzy Logic with Engineering Applications. John Wiley & Sons. pp. 282-. ISBN 978-0-470-86076-2 ...
https://en.wikipedia.org/wiki/Combs_method
Fire in My HeartFire in My Heart
68: [109]. Hogan, Marc (6 June 2005). "Super Furry Animals: Fuzzy Logic". Pitchfork Media. Retrieved 14 September 2010. Wade, ...
https://en.wikipedia.org/wiki/Fire_in_My_Heart
List of University of California, Berkeley facultyList of University of California, Berkeley faculty
... "father of fuzzy logic 1965"; IEEE Pioneer Award in Fuzzy Systems 2000; IEEE Medal of Honor 1995 Satish Rao - Professor of ... Mathematical Logic) David Eisenbud - Professor of Mathematics and former director of the Mathematical Sciences Research ...
https://en.wikipedia.org/wiki/List_of_University_of_California,_Berkeley_faculty
HypercomputationHypercomputation
Certain fuzzy logic-based "fuzzy Turing machines" can, by definition, accidentally solve the halting problem, but only because ... "Fuzzy logic, continuity and effectiveness". Archive for Mathematical Logic. 41 (7): 643-667. CiteSeerX 10.1.1.2.8029. doi: ... A computational model going beyond Turing machines was introduced by Alan Turing in his 1938 PhD dissertation Systems of Logic ... E. M. Gold (1965). "Limiting Recursion". Journal of Symbolic Logic. 30 (1): 28-48. doi:10.2307/2270580. JSTOR 2270580., E. Mark ...
https://en.wikipedia.org/wiki/Hypercomputation
Fuzzy ruleFuzzy rule
... s are used within fuzzy logic systems to infer an output based on input variables. Modus ponens and modus tollens are ... Fuzzy logic B., Enderton, Herbert (2001). A mathematical introduction to logic (2nd ed.). San Diego, Calif.: Academic Press. ... A fuzzy IF-THEN statement may be IF temperature is hot THEN fan speed is fast where hot and fast are described using fuzzy sets ... Mendel, Jerry M. (2001). Uncertain rule-based fuzzy logic systems : introduction and new directions. Upper Saddle River, NJ: ...
https://en.wikipedia.org/wiki/Fuzzy_rule
Deaths in December 2014Deaths in December 2014
Fuzzy Thurston, 80, American football player (Green Bay Packers), Alzheimer's disease and cancer. Johnny Treadwell, 73, ... Ivor Grattan-Guinness, 73, English historian of mathematics and logic. John Hampton, 61, American music engineer and producer, ... dubbing artiste P J Sarma no more Rohit Talwar Packers Hall of Famer Fuzzy Thurston dies at 80 Longhorn legend Johnny Treadwell ...
https://en.wikipedia.org/wiki/Deaths_in_December_2014
Binary relationBinary relation
Ernst Schröder (1895) Algebra und Logic der Relative, via Internet Archive C. I. Lewis (1918) A Survey of Symbolic Logic , ... ISBN 978-0-387-74758-3. Michael Winter (2007). Goguen Categories: A Categorical Approach to L-fuzzy Relations. Springer. pp. x- ... ISBN 978-3-11-015248-7. Peirce, Charles Sanders (1873). "Description of a Notation for the Logic of Relatives, Resulting from ... 40 Hans Hermes (1973). Introduction to Mathematical Logic. Hochschultext (Springer-Verlag). London: Springer. ISBN 3540058192. ...
https://en.wikipedia.org/wiki/Binary_relation
Hubert Humphrey 1968 presidential campaignHubert Humphrey 1968 presidential campaign
They circulated literature, warning voters "the communists in Vietnam are watching...don't vote for fuzzy thinking and ... under his logic. He then lambasted the Republican ticket for ignoring such issues as urban renewal, housing, and federal aid ...
https://en.wikipedia.org/wiki/Hubert_Humphrey_1968_presidential_campaign
Concept of StratificationConcept of Stratification
... the distinguished father of fuzzy logic passes away at age 96 [tribute]. IEEE Systems, Man, and Cybernetics Magazine, 4(3), 42- ... International Journal of Fuzzy Systems, 1-12. Jamshdi, M., Kailath, T., Kreinovitch, V., Tadayon, B., Tadayon, S., Tien, J ... In Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (pp. 1-7). IEEE. Asadabadi, M. R., Saberi, M., & Chang, E. ... such as stratified logic, stratified approach, stratified programming, stratified analysis, among other versions of ...
https://en.wikipedia.org/wiki/Concept_of_Stratification
Parametric determinismParametric determinism
... the logic of the actors themselves in their consciousness and actions; the logic of the given parameters constraining their ... Mandel's reply to this skepticism essentially was to agree that there were always "unknowns" or "fuzzy" areas in human ... Conscious human action, Mandel argues, is mainly non-arbitrary and practical, it has a certain "logic" to it even if people are ... What this means is that in human situations typically several "logics" are operating at the same time which together determine ...
https://en.wikipedia.org/wiki/Parametric_determinism
John Corey WhaleyJohn Corey Whaley
The in between part is still a little fuzzy, but he can tell you that, at some point or another, his head got chopped off and ... Despite all logic, he's still 16 and everything and everyone around him has changed. That includes his bedroom, his parents, ... Or maybe she's not his girlfriend anymore? That's a bit fuzzy too. Looks like if the new Travis and the old Travis are ever ...
https://en.wikipedia.org/wiki/John_Corey_Whaley
BackgammonBackgammon
He applied principles of fuzzy logic to improve its play between phases, and by July 1979, BKG 9.8 was strong enough to play ...
https://en.wikipedia.org/wiki/Backgammon
Learning ruleLearning rule
2003). Neural networks, fuzzy logic, and genetic algorithms : synthesis and applications. Pai, G. A. Vijayalakshmi. (Eastern ... An artificial neural network's learning rule or learning process is a method, mathematical logic or algorithm which improves ...
https://en.wikipedia.org/wiki/Learning_rule
Vector overlayVector overlay
This means that the criteria can be expressed as a Boolean logic expression, in this case, H = A and B and not C. In a task ... Because it is rare for a point to exactly fall on a line or another point, the fuzzy tolerance is often used here. QGIS has ... This enables the use of GIS to solve many spatial tasks that can be reduced to simple logic. Vector overlay is most commonly ... Each of the criteria can be considered boolean in the sense of Boolean logic, because for any point in space, each criterion is ...
https://en.wikipedia.org/wiki/Vector_overlay
HinduismHinduism
Some academics suggest that Hinduism can be seen as a category with "fuzzy edges" rather than as a well-defined and rigid ... de Zwart, Frank (July 2000). "The Logic of Affirmative Action: Caste, Class and Quotas in India". Acta Sociologica. 43 (3): 235 ... but later Nyaya school scholars argued that God exists and offered proofs using its theory of logic. Other schools disagreed ... and according to the shared logic of natural reason." Narratives in the Upanishads present characters questioning persons of ...
https://en.wikipedia.org/wiki/Hinduism
Statistical relational learningStatistical relational learning
... network Relational Markov network Relational Kalman filtering Association rule learning Formal concept analysis Fuzzy logic ... Bayesian logic program BLOG model Logic programs with annotated disjunctions Markov logic networks Multi-entity Bayesian ... Typically, the knowledge representation formalisms developed in SRL use (a subset of) first-order logic to describe relational ... Matthew Richardson and Pedro Domingos, "Markov Logic Networks." Machine Learning, 62 (2006), pp. 107-136. Friedman N, Getoor L ...
https://en.wikipedia.org/wiki/Statistical_relational_learning
Distributed control systemDistributed control system
Modern DCSs also support neural networks and fuzzy logic applications. Recent research focuses on the synthesis of optimal ...
https://en.wikipedia.org/wiki/Distributed_control_system
Mexican International Conference on Artificial IntelligenceMexican International Conference on Artificial Intelligence
Fuzzy logic, Genetic algorithms, Hybrid intelligent systems, Intelligent interfaces: multimedia, virtual reality, Intelligent ... organizations, Intelligent tutoring systems, Knowledge acquisition, Knowledge representation and knowledge management, Logic ...
https://en.wikipedia.org/wiki/Mexican_International_Conference_on_Artificial_Intelligence
Jacqueline McGladeJacqueline McGlade
... semantic nets and data analysis Fuzzy-logic expert systems for environmental management and environmental forecasting ...
https://en.wikipedia.org/wiki/Jacqueline_McGlade
Janusz KacprzykJanusz Kacprzyk
Asen Zlatarov" University, Burgas, Bulgaria 2017, September: Honorary Membership in European Society for Fuzzy Logic and ... Kaufmann Prize and Gold Medal for pioneering works on the use of fuzzy logic in economics and management 2006: Pioneer Award, ... IEEE CIS for pioneering works on multistage fuzzy control (fuzzy dynamic programming) 2007: Pioneer Award of the Silicon Valley ... 006 CIS Fuzzy Systems Pioneer Award, IEEE Computational Intelligence Magazine, May 2006, page 46. Accessed: 30 April 2018. IEEE ...
https://en.wikipedia.org/wiki/Janusz_Kacprzyk
Types of physical unclonable functionTypes of physical unclonable function
A PUF based on a delay loop, i.e., a ring oscillator with logic, in the publication that introduced the PUF acronym and the ... AND Y. Dodis, L. Reyzin, and A. Smith, "Fuzzy extractors: How to generate strong keys from biometrics and other noisy data," in ... When a circuit with the same layout mask is fabricated on different chips, the logic function implemented by the circuit is ... This can be done by applying error correction techniques, such as 'helper data algorithms' or fuzzy extractors. These ...
https://en.wikipedia.org/wiki/Types_of_physical_unclonable_function
Rinse 03Rinse 03
Simone Just Leave Fingerprint So Hot Fuzzy Logic What Goes Around Apple Appletiser Jelly Jams Feat. Katy B I Try Matic ...
https://en.wikipedia.org/wiki/Rinse_03
Linear partial informationLinear partial information
Edward Kofler Fuzzy set Fuzzy logic Game theory Defuzzification Stochastic process Deterministic Probability distribution ... By using the LPI-methods any fuzziness in any decision situation can be considered on the base of the linear fuzzy logic. Any ... Proceedings of ISFL 1997 (International Symposium on Fuzzy Logic), Zurich, 1997, p. 235-239. Edward Kofler - Entscheidungen bei ... This is impossible without the concept of fuzzy equilibrium. The concept of fuzzy stability is considered as an extension into ...
https://en.wikipedia.org/wiki/Linear_partial_information
Toon-DokuToon-Doku
... follows the same principles as the logic-based puzzle Sudoku. In Toon-Doku, players have to fill a 9×9 grid with ... "fuzzy screen". Jihem disliked the game's use of the Nintendo DS stylus, as he felt it was inprecise. Critics have enjoyed the ...
https://en.wikipedia.org/wiki/Toon-Doku
Radiator (album)Radiator (album)
Singer Gruff Rhys has described Radiator as "more interesting" than the band's debut Fuzzy Logic with the group taking ... Hogan, Marc (6 June 2005). "Super Furry Animals: Fuzzy Logic / Radiator / Out Spaced / Guerilla / Mwng". Pitchfork. Retrieved 6 ...
https://en.wikipedia.org/wiki/Radiator_(album)
Amanda ConnerAmanda Conner
"Fuzzy Logic" short story) (2010) Kid Death & Fluffy Spring Break Special #1 (1996) Legends of Kid Death & Fluffy #1 (1997) ...
https://en.wikipedia.org/wiki/Amanda_Conner
First-order logicFirst-order logic
First-order fuzzy logics are first-order extensions of propositional fuzzy logics rather than classical propositional calculus ... First-order logic-also known as predicate logic, quantificational logic, and first-order predicate calculus-is a collection of ... Second-order logic extends first-order logic by adding the latter type of quantification. Other higher-order logics allow ... These include propositional logic and monadic predicate logic, which is first-order logic restricted to unary predicate symbols ...
https://en.wikipedia.org/wiki/First-order_logic
Vivek filmographyVivek filmography
Srinivasan, Sudhir (26 May 2017). "Brindavanam review: A warm, fuzzy film that works for the most part". The New Indian Express ... "Viswasam" review: If you forget logic, Ajith's film is passable". 10 January 2019. "Vellai Pookal Movie Review {3/5}: Critic ...
https://en.wikipedia.org/wiki/Vivek_filmography
Jane M. BookerJane M. Booker
She is known for her work on expert elicitation and on using probability theory to formalize reasoning from fuzzy logic. Booker ... Reviews of Fuzzy Logic and Probability Applications: Klir, George J. (December 2003), International Journal of General Systems ... she is the coeditor of Fuzzy Logic and Probability Applications: Bridging the Gap (Society for Industrial and Applied ...
https://en.wikipedia.org/wiki/Jane_M._Booker
Security alarmSecurity alarm
"Fuzzy Logic" analysis of the signals. Those who use this generate a detection whether the intruder is rolling, crossing, ...
https://en.wikipedia.org/wiki/Security_alarm
Competence (human resources)Competence (human resources)
Judgement Makes sound decisions; bases decisions on fact rather than emotion; analyzes problems skillfully; uses logic to reach ... who has written that the competences are fusions obtained from the complete mixture of the fuzzy sets of aptitudes and ...
https://en.wikipedia.org/wiki/Competence_(human_resources)
10. Fuzzy Logic - AI for Game Developers [Book]10. Fuzzy Logic - AI for Game Developers [Book]
... wrote his original paper laying out fuzzy set theory. We find no better way … - Selection from AI for Game Developers [Book] ... Fuzzy Logic In 1965 Lotfi Zadeh, a professor at the University of California Berkeley, ... We find no better way of explaining what fuzzy logic is than by quoting the father of fuzzy logic himself. In a 1994 interview ... of fuzzy logic is that everything is a matter of degree." Well now elaborate on these two fundamental principles of fuzzy ...
https://www.oreilly.com/library/view/ai-for-game/0596005555/ch10.html
What is Fuzzy Logic | IGI GlobalWhat is Fuzzy Logic | IGI Global
Definition of Fuzzy Logic: Fuzzy logic is a problem-solving methodology that is inspired by human decision-making, taking ... Fuzzy logic is a multi valued logic based on fuzzy sets. This type of logic is very nearer to the way how humans identify and ... Fuzzy logic is a multi-valued logic based on fuzzy sets. This type of logic is very nearer to the way how humans are ... Boolean logic is considered to be a special case of fuzzy logic Learn more in: Incorporating Fuzzy Logic in Data Mining Tasks ...
https://www.igi-global.com/dictionary/fuzzy-logic/11740
Quantum Fuzzy Logic and TimeQuantum Fuzzy Logic and Time
Then, the purpose of this paper is to show that quantum fuzzy logic works well with time. That is, quantum fuzzy logic has the ... Further, we showed that certain logic (called quantum fuzzy logic) works in quantum language. In general, it is said that logic ... However, our logic is not mathematical logic, but quantum fuzzy logic and quantum fuzzy logic is a logic born from quantum ... truth tables are useful in quantum fuzzy logic. Concerning M C ( Ω ) ( O 1 , S [ ω 0 ] ) and M C ( Ω ) ( O 2 , S [ ω 0 ] ) , we ...
https://www.scirp.org/journal/paperinformation.aspx?paperid=112972
Confidence-Enhanced Early Warning Score Based on Fuzzy Logic | SpringerLinkConfidence-Enhanced Early Warning Score Based on Fuzzy Logic | SpringerLink
... we use fuzzy logic instead of simple boolean logic to assess the reliability value. The usage of fuzzy logic enables the ... Götzinger, M., Anzanpour, A., Azimi, I. et al. Confidence-Enhanced Early Warning Score Based on Fuzzy Logic. Mobile Netw Appl ... Confidence-Enhanced Early Warning Score Based on Fuzzy Logic. *Maximilian Götzinger. ORCID: orcid.org/0000-0002-1112-141X1,2, ... In this paper, we propose an EWS system enhanced with the self-aware property confidence, which is based on fuzzy logic. In our ...
https://link.springer.com/article/10.1007/s11036-019-01324-5
Pangaea - Fuzzy Logic / Still Flowing Water. Bleep. Pangaea - Fuzzy Logic / Still Flowing Water. Bleep.
Buy Fuzzy Logic / Still Flowing Water by Pangaea on Bleep. ... 3 Fuzzy Logic (Edit) 3:09 Buy Fuzzy Logic (Edit) * WAV / FLAC $ ... Fuzzy Logic / Still Flowing Water Label Hessle Audio Catalogue Number 5050580788466 Release Date October 21, 2022 ... Fuzzy Logic Label Hessle Audio Catalogue Number HES040D1 Release Date June 14, 2022 ... Fuzzy Logic and Still Flowing Water turn the full throttle headbanging up to eleven, both heavy hitters with nocturnal club ...
https://bleep.com/release/340545-pangaea-fuzzy-logic-still-flowing-water
Geometry.Net - Math Discover: Fuzzy Logic
The MathWorks - Fuzzy Logic Toolbox environment to support the design of fuzzy logic based systems. The fuzzy logic Toolbox ... The Nets Original Fuzzy Logic Archive - Since 1994 Basics Beverlys Fuzzy Logic Bookstore Brief Course in Fuzzy Logic Fuzzy ... Fuzzy Logic: more books (100) *Fuzzy Logic with Engineering Applications, Third Edition by Timothy Ross, 2010-03-08 *Fuzzy ... Fuzzy Logic Get Fuzzy 2 by Darby Conley, 2002-04-01 *An Introduction to Many-Valued and Fuzzy Logic: Semantics, Algebras, and ...
http://www.geometry.net/math_discover/fuzzy_logic.html
dblp: Int. Workshop on Fuzzy Logic and Applications 2003dblp: Int. Workshop on Fuzzy Logic and Applications 2003
Application of Fuzzy Logic Controllers for Laser Tracking with Autonomous Robot System. 97-102. ... Fuzzy Logic and Applications, 5th International Workshop, WILF 2003, Naples, Italy, October 9-11, 2003, Revised Selected Papers ... Fuzzy Spatial Relationships for Model-Based Pattern Recognition in Images and Spatial Reasoning Under Imprecision. 164-173. ... An Automated Image Thresholding Scheme for Highly Contrast-Degraded Images Based on a-Order Fuzzy Entropy. 332-339. ...
https://dblp.uni-trier.de/db/conf/wilf/wilf2003.html
Fuzzy Logic Control Systems ApplicationsFuzzy Logic Control Systems Applications
Now Lets go a little deeper applying Fuzzy Set Theory to Fuzzy Logic Controller. It can be seen here, the fuzz logic ... Finally we can see some Applications of Fuzzy Set Theory and Fuzzy Logic Controller. The fuzzy set theory can be used for ... Cheng will explain the Fuzzy Logic Controller. He starts with the graph. Fuzzy Logic Controller is constructed of three parts, ... The output of the fuzzy controller is the Command of Heating, Maintaining or Cooling. You will be able to see how Fuzzy Logic ...
https://www.futurelearn.com/info/courses/artificial-intelligence-technology-application/0/steps/108679
Weird Water and Fuzzy Logic - 9781615925834Weird Water and Fuzzy Logic - 9781615925834
978-1-57392-096-4 • Hardback • October 1996 • $30.99 • (£23.99) - Currently out of stock. Copies will arrive soon. ...
https://rowman.com/ISBN/9781615925834/Weird-Water-and-Fuzzy-Logic
Fuzzy Logic Control of Switched Reluctance Motor Drives | IntechOpenFuzzy Logic Control of Switched Reluctance Motor Drives | IntechOpen
Thus, a fuzzy logic current compensator is proposed both for reducing the peak of radial force and for decreasing acoustic ... Also, the fuzzy logic current compensator reduces speed estimation error. The speed estimation is carried out using a hybrid ... In the parts that torque reduces, the fuzzy logic current compensator injects additional current for each phase current to ... are determined using fuzzy logic.. Figure 15 illustrates the adaptive fuzzy logic of torque estimator of the k. th phase. The ...
https://www.intechopen.com/chapters/50870
The Fuzzy Description Logic f-SHIN | SciweaversThe Fuzzy Description Logic f-SHIN | Sciweavers
The Fuzzy Description Logic f-SHIN - Abstract. In the Semantic Web information would be retrieved, processed, combined, shared ... Resolution Strategies for Fuzzy Description Logic. » A Framework for Reasoning with Expressive Continuous Fuzzy Description ... Fuzzy Descriptions Logics with Fuzzy Truth Values. » ... Fuzzy Description Logics and tnorm based fuzzy logics. » fXOR ... enhance SW applications we present an extension of the Description Logic SHIN with fuzzy set theory. We present the semantics ...
http://www.sciweavers.org/publications/fuzzy-description-logic-f-shin
Opinion on TCO: Fuzzy Math, Fuzzy Logic? -- Microsoft Certified Professional Magazine OnlineOpinion on TCO: Fuzzy Math, Fuzzy Logic? -- Microsoft Certified Professional Magazine Online
Things get murky as you start to price out systems costs, and thats why we have analyst firms to tell us the bad news. Things are never as cheap as the vendors tell us. But what are the analysts telling us?
https://mcpmag.com/articles/2003/08/11/opinion-on-tco-fuzzy-math-fuzzy-logic.aspx
Fuzzy Logic and CAIRE: On the Way to Automating the Painting ProcessFuzzy Logic and CAIRE: On the Way to Automating the Painting Process
Fuzzy Logic's Repplix software module allows a robotic system to learn trajectories in a single gesture and without any ... Fuzzy Logic and CAIRE: On the Way to Automating the Painting Process Fuzzy Logic, with its Repplix software module, allows a ... About Fuzzy Logic. Fuzzy Logic was founded by Ryan Lober and Antoine Hoarau, a franco-american team of specialists in command ... Ryan Lober, CEO of Fuzzy Logic, explained: With the Repplix software module, developed by Fuzzy Logic, it is easy to robotize ...
https://www.automation.com/en-us/articles/september-2022/fuzzy-logic-caire-way-automating-painting-process?listname=Articles%20&%20News%20on%20Discrete%20Manufacturing%20&%20Machine%20Control
Fuzzy logics with enriched language - ePrints SotonFuzzy logics with enriched language - ePrints Soton
Fuzzy logics with enriched language. In, Cintula, Petr, Hajek, Peter and Noguera, Carles (eds.) Handbook of Mathematical Fuzzy ...
https://eprints.soton.ac.uk/416719/
British Library EThOS: Probabilistic fuzzy logic framework in reinforcement learning for decision makingBritish Library EThOS: Probabilistic fuzzy logic framework in reinforcement learning for decision making
Probabilistic fuzzy logic framework in reinforcement learning for decision making Author: Hinojosa, William ISNI: 0000 0004 ... approach combined with the universal function approximation capability of fuzzy systems within a probabilistic fuzzy logic ... The generalized probabilistic fuzzy reinforcement learning (GPFRL) method, presented in this dissertation, is a modified ... In most combinations of fuzzy systems with reinforcement learning, the environment is considered deterministic. However, for ...
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.537551
JPRS Report, Science & Technology, China, Fuzzy Logic & Neural Networks.
VLSI implementation of fuzzy hardware. By the use of these circuit units a high speed fuzzy logic microprocessor for a real ... CMOS current mode circuit units are designed and fabricated completing various fuzzy logic operations and relevant processing. ... VLSI implementation of fuzzy hardware. By the use of these circuit units a high speed fuzzy logic microprocessor for a real ... CMOS current mode circuit units are designed and fabricated completing various fuzzy logic operations and relevant processing. ...
https://apps.dtic.mil/sti/citations/ADA336059
Abstract] The Enhancement of Industrial Power System Operation using STATCOM Equipment with Fuzzy Logic and Genetic AlgorithmAbstract] The Enhancement of Industrial Power System Operation using STATCOM Equipment with Fuzzy Logic and Genetic Algorithm
This paper presents a new method of incorporation fuzzy system into Genetic Algorithm in order to tune an optimum fuzzy system ... The Enhancement of Industrial Power System Operation using STATCOM Equipment with Fuzzy Logic and Genetic Algorithm Javad ... This paper presents a new method of incorporation fuzzy system into Genetic Algorithm in order to tune an optimum fuzzy system ... In order to have a faster speed in control, we choose the controller based on the fuzzy system. Regarding the complexity of ...
https://www.actapress.com/Abstract.aspx?paperId=452540
A First Course in Fuzzy Logic 4th edition | 9781138585089, 9780429012600 | VitalSourceA First Course in Fuzzy Logic 4th edition | 9781138585089, 9780429012600 | VitalSource
The Digital and eTextbook ISBNs for A First Course in Fuzzy Logic are 9780429012600, 0429012608 and the print ISBNs are ... A First Course in Fuzzy Logic 4th Edition is written by Hung T. Nguyen; Carol L. Walker; Elbert A. Walker and published by ... A First Course in Fuzzy Logic 4th Edition is written by Hung T. Nguyen; Carol L. Walker; Elbert A. Walker and published by ... A First Course in Fuzzy Logic 4th Edition is written by Hung T. Nguyen; Carol L. Walker; Elbert A. Walker and published by ...
https://www.vitalsource.com/en-au/products/a-first-course-in-fuzzy-logic-hung-t-nguyen-carol-l-v9780429012600
Topic: aquifers and fuzzy logic - OpenAGRICOLA Search ResultsTopic: aquifers and fuzzy logic - OpenAGRICOLA Search Results
You searched for: Topic aquifers Remove constraint Topic: aquifers Topic fuzzy logic Remove constraint Topic: fuzzy logic Start ... 7. Application of Fuzzy Multi-Objective Function on Reducing Groundwater Demand for Aquaculture in Land-Subsidence Areas ... 4. A simulation-based fuzzy chance-constrained programming model for optimal groundwater remediation under uncertainty ... 1. Fuzzy-stochastic characterization of site uncertainty and variability in groundwater flow and contaminant transport through ...
https://openagricola.nal.usda.gov/?author=&f%5Btopic_facet%5D%5B%5D=aquifers&f%5Btopic_facet%5D%5B%5D=fuzzy+logic&op=AND&per_page=50&search_field=advanced&sort=date-desc&title=&topic=
Evaluation of the MORE-CARE wind power prediction platform. Perfrmance of the fuzzy logic based models - Archive ouverte HALEvaluation of the MORE-CARE wind power prediction platform. Perfrmance of the fuzzy logic based models - Archive ouverte HAL
The prediction tool integrates models based on adaptive fuzzy-neural networks configured either for short-term or long-term ... Perfrmance of the fuzzy logic based models Georges Kariniotakis 1 Pierre Pinson 1 Details. ... Perfrmance of the fuzzy logic based models. EWEC 2003 - European Wind Energy Conference, Jun 2003, Madrid, Spain. ⟨hal-00530467 ... Keywords : Wind Power Time-series forecasting numerical weather predictions on-line software adaptive fuzzy-neural networks ...
https://hal.archives-ouvertes.fr/hal-00530467
Google Doodle honors former Prof. and Alum (Ph.D49) Lotfi Zadeh, father of fuzzy logic | Electrical EngineeringGoogle Doodle honors former Prof. and Alum (Ph.D'49) Lotfi Zadeh, father of fuzzy logic | Electrical Engineering
and Alum (Ph.D49) Lotfi Zadeh on the 57th anniversary of the creation of his fuzzy logic theory. ...
https://www.ee.columbia.edu/news/google-doodle-honors-former-prof-and-alum-phd49-lotfi-zadeh-father-fuzzy-logic
S. C. Nadig, Intelligent Scheduling Using Fuzzy Logic in Applications, Open VMS Technical Journal, Vol. 12, No. 12, 2009, pp....S. C. Nadig, "Intelligent Scheduling Using Fuzzy Logic in Applications," Open VMS Technical Journal, Vol. 12, No. 12, 2009, pp....
KEYWORDS: Operating System; Hard Disk; Disk Scheduling; Fuzzy Logic; Fuzzy Inference System (FIS) ... TITLE: A New Approach to Disk Scheduling Using Fuzzy Logic AUTHORS: Priya Hooda, Supriya Raheja ... S. C. Nadig, "Intelligent Scheduling Using Fuzzy Logic in Applications," Open VMS Technical Journal, Vol. 12, No. 12, 2009, pp ... Our algorithm Fuzzy Disk Scheduling (FDS) looks at the uncertainty associated with scheduling incorporating the two factors. ...
https://scirp.org/reference/referencespapers.aspx?referenceid=1046154
Construction duration predictive model based on factorial analysis and fuzzy logic | Ambiente Construído Construction duration predictive model based on factorial analysis and fuzzy logic | Ambiente Construído
Construction duration predictive model based on factorial analysis and fuzzy logic Autores. * Luiz Maurício Furtado Maués ... Fuzzy Logic. Building Construction. Deadline. Resumo. Setting the building construction duration for vertical residential works ... For the training and construction of the Fuzzy Forecast Model, data from 71 projects were used and 16 others residential ... deadline for vertical residential building works from design and production characteristics using factorial analysis and Fuzzy ...
https://seer.ufrgs.br/index.php/ambienteconstruido/article/view/79907
An Optimal Rule generation Scheme Using Genetic Algorithms for the Design of a Fuzzy Logic Controller - Amrita Vishwa...An Optimal Rule generation Scheme Using Genetic Algorithms for the Design of a Fuzzy Logic Controller - Amrita Vishwa...
An Optimal Rule generation Scheme Using Genetic Algorithms for the Design of a Fuzzy Logic Controller. Publication Type : ... Kaimal, M. R., "An Optimal Rule generation Scheme Using Genetic Algorithms for the Design of a Fuzzy Logic Controller", Jl of ... HomePublicationsAn Optimal Rule generation Scheme Using Genetic Algorithms for the Design of a Fuzzy Logic Controller ...
https://www.amrita.edu/publication/an-optimal-rule-generation-scheme-using-genetic-algorithms-for-the-design-of-a-fuzzy-logic-controller/
Fuzzy logic techniques for Cybercars: a control and decision approach. - Inria - Institut national de recherche en sciences et...
Some simulations show that fuzzy logic techniques are promising in the development of ITS applications. ... fuzzy logic techniques have been implemented in real time control tools to translate human knowledge to driverless control ... Fuzzy logic techniques for Cybercars: a control and decision approach. Michelena Oriana Rojas 1 Joshué Pérez Rastelli 1 Fawzi ... Fuzzy logic techniques for Cybercars: a control and decision approach.. 22èmes rencontres francophones sur la Logique Floue et ...
https://hal.inria.fr/hal-00913106
IOS Press Ebooks - A Similarity and Fuzzy Logic-Based Approach to Cerebral CategorisationIOS Press Ebooks - A Similarity and Fuzzy Logic-Based Approach to Cerebral Categorisation
It involves weighted rules that use inference and fusion techniques borrowed from fuzzy logic. The approach is illustrated by a ...
https://ebooks.iospress.nl/volumearticle/2642
Pangaea - Fuzzy Logic / Still Flowing Water - Vinyl at OYE RecordsPangaea - Fuzzy Logic / Still Flowing Water - Vinyl at OYE Records
Fuzzy Logic backed wit... Vinyl - Grab your copy! ... Fuzzy Logic backed with the supersaw euphoria of Still ...
https://oye-records.com/releases/pangaea-fuzzy-logic-still-flowing-water
TIL File Extension - Open .TIL File (Fuzzy Logic knowledge base file)TIL File Extension - Open .TIL File (Fuzzy Logic knowledge base file)
TIL is known as a Fuzzy Logic knowledge base file. These .TIL files can be opened on Windows and Apple using programs ... ... Answer: Files which are given the .TIL extension are known as Fuzzy Logic knowledge base files, however other file types may ...
https://dotwhat.net/file/extension/til/4869
Self-tuning PD fuzzy logic controller with minimum number of rules - IRep - Nottingham Trent UniversitySelf-tuning PD fuzzy logic controller with minimum number of rules - IRep - Nottingham Trent University
Self-tuning PD fuzzy logic controller with minimum number of rules. In: IEEE International Conference on Systems, Man and ...
http://irep.ntu.ac.uk/id/eprint/8632/
Description LogicsControllerLotfi ZadehFather of fuzzy logicProbabilistic fuzzyMathematicalType-2 fuzzy logicCourse in Fuzzy LogicFounder of fuzzy logicPrinciples of fuzzy logicUncertaintyControllersNeuro-fuzzyNeuralControl1994ApproachCompensatorFrameworkCrispZadeh'sApplicationsOptimizationSoilSystemsAdvancesInference EngineMethodReasoningVagueSystemDataAlgorithmFoundationsPaperToolboxKeywordsFlowing WaterMethodologyRoboticsImplementationFundamentalMethodsConcept
Description Logics2
  • Some Complexity Results on Fuzzy Description Logics. (uni-trier.de)
  • More concretely, we present probabilistic fuzzy description logic programs, which combine fuzzy description logics, fuzzy logic programs (with stratified nonmonotonic negation), and probabilistic uncertainty in a uniform framework for the Semantic Web. (ox.ac.uk)
Controller24
  • Now Let's go a little deeper applying Fuzzy Set Theory to Fuzzy Logic Controller. (futurelearn.com)
  • It can be seen here, the fuzz logic controller is constructed of three parts. (futurelearn.com)
  • When a crisp input goes into the fuzzy logic controller, it is firstly mapped to fuzzy set to determine the membership degrees of fuzzy sets by the fuzzier. (futurelearn.com)
  • Maybe the fuzzy logic controller is still fuzzy for you. (futurelearn.com)
  • So I am going to show an design example to help you to understand fuzzy logic controller more clearly. (futurelearn.com)
  • The purpose of the example is to design the fuzzy controller to control the air-conditioner such that the room temperature maintain suitable. (futurelearn.com)
  • The input of the fuzzy controller is the room temperature. (futurelearn.com)
  • The output of the fuzzy controller is the Command of Heating, Maintaining or Cooling. (futurelearn.com)
  • According to rule 2 and rule 3, the fuzzy logic controller will give a command of heating at 75 percent effort. (futurelearn.com)
  • Finally we can see some Applications of Fuzzy Set Theory and Fuzzy Logic Controller. (futurelearn.com)
  • The fuzzy logic controller can be used to automatic control systems, for example, autonomous vehicle systems. (futurelearn.com)
  • Prof. Cheng will explain the Fuzzy Logic Controller. (futurelearn.com)
  • You will be able to see how Fuzzy Logic Controller sustain the room temperature. (futurelearn.com)
  • In order to have a faster speed in control, we choose the controller based on the fuzzy system. (actapress.com)
  • Regarding the complexity of tuning of the fuzzy controller, use of trial and error method to tune it is not applicable and updated numerical methods must get used. (actapress.com)
  • Article: Rotor flux-based MRAS for three level inverter fed induction motor drive using fuzzy logic controller Journal: International Journal of Power Electronics (IJPELEC) 2012 Vol.4 No.5 pp.463 - 478 Abstract: This paper proposes a sensorless vector control scheme for induction motor to operate at low speed. (inderscience.com)
  • Adaptive model tuning is done with fuzzy logic controller (FLC) in place of PI controller. (inderscience.com)
  • P. P., and Dr. Kaimal, M. R., "An Optimal Rule generation Scheme Using Genetic Algorithms for the Design of a Fuzzy Logic Controller", Jl of System society of India, 2002. (amrita.edu)
  • In this study, a designed proportional-integral (PI) controller and a fuzzy logic controller (FLC) that fix the voltage amplitude to a constant value of 380 V and 50 Hz for loads supplied from a wind/battery hybrid energy system are explained and compared. (tubitak.gov.tr)
  • A fuzzy logic-based controller to be used for the voltage control of the designed hybrid system is proposed and compared with a classical PI controller for performance validation. (tubitak.gov.tr)
  • In this paper, a new type-2 fuzzy logic controller (T2FLC) is proposed for on-line control of nonlinear systems. (sciedupress.com)
  • The main aim of this paper is to propose a new type-2 fuzzy controller with a smallcomputational burden so that it can be used on-line. (sciedupress.com)
  • This paper compares the advantage of a fuzzy logic controller over existing controllers for this type of network. (essex.ac.uk)
  • The paper establishes that under conditions of heavy congestion, with multiple video sources, an IT2 fuzzy controller consistently outperforms traditional controllers, resulting in an improvement of several dB in video quality when streaming across a bottleneck link. (essex.ac.uk)
Lotfi Zadeh3
  • In 1965 Lotfi Zadeh, a professor at the University of California Berkeley, wrote his original paper laying out fuzzy set theory. (oreilly.com)
  • Cnet.com reported on a recent Google Doodle honoring former EE Prof. and Alum (Ph.D'49) Lotfi Zadeh on the 57th anniversary of the creation of his fuzzy logic theory. (columbia.edu)
  • Lotfi Zadeh , a computer scientist, and a mathematician came up with fuzzy logic when he realized that there is a big difference between the decision making of humans and computers. (upgrad.com)
Father of fuzzy logic1
  • We find no better way of explaining what fuzzy logic is than by quoting the father of fuzzy logic himself. (oreilly.com)
Probabilistic fuzzy4
  • This work proposes a novel reinforcement learning approach combined with the universal function approximation capability of fuzzy systems within a probabilistic fuzzy logic theory framework, where the information from the environment is not interpreted in a deterministic way as in classic approaches but rather, in a statistical way that considers a probability distribution of long term consequences. (bl.uk)
  • The generalized probabilistic fuzzy reinforcement learning (GPFRL) method, presented in this dissertation, is a modified version of the actor-critic learning architecture where the learning is enhanced by the introduction of a probability measure into the learning structure where an incremental gradient descent weight- updating algorithm provides convergence. (bl.uk)
  • Furthermore, we describe a shopping agent example, which gives evidence of the usefulness of probabilistic fuzzy description logic programs in realistic web applications. (ox.ac.uk)
  • In the extended report, we also provide algorithms for query processing in probabilistic fuzzy description logic programs, and we delineate a special case where query processing can be done in polynomial time in the data complexity. (ox.ac.uk)
Mathematical4
  • A form of mathematical logic that employ the concept of partial truth in which the truth can be represented as continuous values between 0 and 1. (igi-global.com)
  • Mathematical Aspects of Fuzzy Control. (uni-trier.de)
  • Handbook of Mathematical Fuzzy Logic. (soton.ac.uk)
  • In 1964, Zadeh conceived a new mathematical concept called fuzzy logic which offered an alternative to rigid yes-no logic in an effort to mimic how people see the world. (berkeley.edu)
Type-2 fuzzy logic1
  • One encounters some problems using the type-2 fuzzy logic controllers on-line because of thelarge volume of computations required. (sciedupress.com)
Course in Fuzzy Logic1
  • The Digital and eTextbook ISBNs for A First Course in Fuzzy Logic are 9780429012600, 0429012608 and the print ISBNs are 9781138585089, 1138585084. (vitalsource.com)
Founder of fuzzy logic1
  • Lotfi A. Zadeh , The founder of fuzzy logic International Fuzzy Systems Association (IFSA) IFSA is a worldwide organization dedicated to the support and development of the theory of fuzzy sets and systems and related areas and their applications, publishes the International Journal of Fuzzy Sets and Systems, holds International conferences, establishes chapters and sponsors other activities. (geometry.net)
Principles of fuzzy logic2
  • We'll now elaborate on these two fundamental principles of fuzzy logic. (oreilly.com)
  • In this paper principles of fuzzy logic are introduced for comparing the performance of two student groups concerning the comprehension of real numbers in general and of irrational numbers in particular. (sciepub.com)
Uncertainty5
  • Our algorithm Fuzzy Disk Scheduling (FDS) looks at the uncertainty associated with scheduling incorporating the two factors. (scirp.org)
  • This paper is directed towards an infrastructure for handling both uncertainty and vagueness in the Rules, Logic, and Proof layers of the Semantic Web. (ox.ac.uk)
  • We define important concepts dealing with both probabilistic uncertainty and fuzzy vagueness, such as the expected truth value of a crisp sentence and the probability of a vague sentence. (ox.ac.uk)
  • Voskoglou, M. Gr. (2011), Fuzzy Logic and Uncertainty in Mathematics Education, International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 1, 45-64. (sciepub.com)
  • This paper demonstrates that the new logic provides robustness to uncertainty both in modeling the network and in measuring congestion. (essex.ac.uk)
Controllers3
  • Application of Fuzzy Logic Controllers for Laser Tracking with Autonomous Robot System. (uni-trier.de)
  • The proposedmethod provides more flexibility in applying human thinking in control system design in comparison with the traditional or eventype-1 fuzzy logic controllers. (sciedupress.com)
  • The resultsare compared with PID and type-1 fuzzy logic controllers. (sciedupress.com)
Neuro-fuzzy3
  • It also includes functions for the latest fuzzy logic methods, such as fuzzy clustering and adaptive neuro-fuzzy learning. (geometry.net)
  • A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow. (uni-trier.de)
  • On the Use of Neuro-fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data. (uni-trier.de)
Neural2
  • Fuzzy Relational Neural Network for Data Analysis. (uni-trier.de)
  • The prediction tool integrates models based on adaptive fuzzy-neural networks configured either for short-term or long-term forecasting. (archives-ouvertes.fr)
Control12
  • Subscribe to the Fuzzy Control newsletter. (geometry.net)
  • Piecewise Linear Fuzzy Sliding Mode Control. (uni-trier.de)
  • David Mangin added: 'While Repplix takes control of the robot and pilots it on the fly, we are working with Fuzzy Logic on securing the process and interfacing Repplix with the safety PLCa integrated into the system. (automation.com)
  • This paper presents a new method of incorporation fuzzy system into Genetic Algorithm in order to tune an optimum fuzzy system for control of STATCOM compensator to improve an industrial busbar voltage profile. (actapress.com)
  • Fuzzy logic techniques for Cybercars: a control and decision approach. (inria.fr)
  • In this paper, fuzzy logic techniques have been implemented in real time control tools to translate human knowledge to driverless control processes, considering risk/warning situation. (inria.fr)
  • A PD Law Based Fuzzy Logic Control Strategy For Simultaneous Control O" by Zhao Li, Xiang Guo Xu et al. (purdue.edu)
  • In this paper, the development of a novel control strategy based on PD law and fuzzy logic is reported. (purdue.edu)
  • Its sensors measure the crips inputs and pass them into the control system so the logic can process them further. (upgrad.com)
  • The acceptance of fuzzy logic for video control has gained ground but its advantages will become even more apparent through interval type-2 (IT2) logic rather than traditional type-1 logic. (essex.ac.uk)
  • Zadeh's seminal paper, "Fuzzy Sets -- Information and Control," was submitted for publication 57 years ago today. (berkeley.edu)
  • This type of complex situation is what fuzzy logic attempts to control. (microbiomeprescription.com)
19942
  • In a 1994 interview of Zadeh conducted by Jack Woehr of Dr. Dobbs Journal , Woehr paraphrases Zadeh when he says "fuzzy logic is a means of presenting problems to computers in a way akin to the way humans solve them. (oreilly.com)
  • E. Cox, The Fuzzy Systems Handbook, AP Professional, 1994. (crossref.org)
Approach6
  • We can use fuzzy clustering approach for image segmentation to help doctors diagnose. (futurelearn.com)
  • In this paper, an automatic procedure to perform the optimal sizing of a stand-alone solar electrical system with battery storage is developed by a fuzzy logic based multi-objective optimization approach. (asme.org)
  • An approach to fuzzy hypotheses testing. (nu.ac.th)
  • A fuzzy-logic generalization of a data mining approach. (nu.ac.th)
  • Testing fuzzy hypotheses with crisp data: the minimax approach: Proceeding of the 2nd Joint congress on fuzzy and Intelligent System (p. 5). (nu.ac.th)
  • Fuzzy logic as an approach to designing RPM systems provides a means for encapsulating the subjective decision-making process of medical experts in an algorithm suitable for computer implementation. (who.int)
Compensator3
  • Thus, a fuzzy logic current compensator is proposed both for reducing the peak of radial force and for decreasing acoustic noise effects. (intechopen.com)
  • In the parts that torque reduces, the fuzzy logic current compensator injects additional current for each phase current to overcome the torque ripple. (intechopen.com)
  • Also, the fuzzy logic current compensator reduces speed estimation error. (intechopen.com)
Framework1
  • Fuzzy hypotheses testing in the framework of fuzzy logic. (nu.ac.th)
Crisp4
  • Fuzzifier converts the input (crisp numbers) into fuzzy sets. (upgrad.com)
  • In this stage, the defuzzifier converts the fuzzy sets it receives into crisp output. (upgrad.com)
  • A fuzzy set is a set without a crisp, clearly defined boundary. (mathworks.com)
  • Testing fuzzy hypotheses with crisp data. (nu.ac.th)
Zadeh's1
  • On the use of Zadeh's probabilistic definition for testing statistical hypotheses from fuzzy information. (nu.ac.th)
Applications6
  • In order to be able to represent and reason with such type of information in the Semantic Web (SW), as well as, enhance SW applications we present an extension of the Description Logic SHIN with fuzzy set theory. (sciweavers.org)
  • Some simulations show that fuzzy logic techniques are promising in the development of ITS applications. (inria.fr)
  • In this fuzzy logic tutorial , you'll get to learn what fuzzy logic is, how it works, and what are its applications. (upgrad.com)
  • There are many applications of fuzzy logic in AI because you can't use Boolean or similar logic everywhere. (upgrad.com)
  • As we mentioned earlier, there are many applications of fuzzy logic in AI . (upgrad.com)
  • A Fuzzy Decision Tree to Estimate Development Effort for Web Applications. (ijettjournal.org)
Optimization1
  • The fuzzy multi-objective optimization procedure is described and the application results are presented considering different configurations characterized by some parameters, such as the electrical load, the yearly power demand, the distance from the utility grid, and the solar cells unit cost. (asme.org)
Soil1
  • An application of testing fuzzy hypotheses: Soil study on the bioavailability of cadmium. (nu.ac.th)
Systems14
  • Japan Society for Fuzzy Theory and Systems (SOFT) Established in 1989. (geometry.net)
  • SOFT has 1,670 individual members and 74 company members, publishes an official bimonthly journal and organizes fuzzy systems symposiums. (geometry.net)
  • environment to support the design of fuzzy logic based systems. (geometry.net)
  • Design and simulate systems based on fuzzy logic This toolbox extends the MATLAB environment to support the design of fuzzy logic based systems. (geometry.net)
  • VHDL High Level Modelling and Implementation of Fuzzy Systems. (uni-trier.de)
  • In most combinations of fuzzy systems with reinforcement learning, the environment is considered deterministic. (bl.uk)
  • This study aimed to investigate the use of a hybrid system to estimate the deadline for vertical residential building works from design and production characteristics using factorial analysis and Fuzzy Systems. (ufrgs.br)
  • Fuzzy Sets and Systems, 20(2), 175-190. (nu.ac.th)
  • Fuzzy Sets and Systems, 153(1), 1-28. (nu.ac.th)
  • Fuzzy Sets and Systems, 145(2), 229-252. (nu.ac.th)
  • Fuzzy Sets and Systems, 123(1), 39-48. (nu.ac.th)
  • Fuzzy Sets and systems, 53(2), 167-178. (nu.ac.th)
  • Fuzzy sets and Systems, 43(2), 139-157. (nu.ac.th)
  • Fuzzy logic plays a key role in many medical expert systems. (bvsalud.org)
Advances1
  • ed) Advances in fuzzy set theory and application. (nu.ac.th)
Inference Engine1
  • We can easily complete the fuzzy rules in the inference engine. (futurelearn.com)
Method4
  • A General Defuzzification Method for Fuzzy Total Cost in an Inventory Without Backorder Case. (uni-trier.de)
  • In general, fuzzy inference is a method that interprets the values in the input vector and, based on some set of rules, assigns values to the output vector. (mathworks.com)
  • The research aimed to study a health evaluation method from the annual health examination by an application of testing fuzzy hypotheses. (nu.ac.th)
  • The method of health diagnosis was the testing fuzzy hypotheses by using fuzzy p-value consisted of the followings : 1) Set the fuzzy hypotheses to insist the results from laboratory in the annual health examination. (nu.ac.th)
Reasoning8
  • A form of many-valued logic that deals with reasoning that is approximate rather than fixed and exact. (igi-global.com)
  • It is a form of multi-valued logic obtained from fuzzy set theory to deal with reasoning that is approximate rather than precise. (igi-global.com)
  • Rough-Fuzzy Granular Computing, Case Based Reasoning and Data Mining. (uni-trier.de)
  • Fuzzy Spatial Relationships for Model-Based Pattern Recognition in Images and Spatial Reasoning Under Imprecision. (uni-trier.de)
  • In this article we describe a system that supports automated testing before building construction using fuzzy logic for reasoning on the working condition regulations. (tue.nl)
  • Fuzzy reasoning becomes valuable exactly when you work with how people really perceive the concept weekend as opposed to a simple-minded classification useful for accounting purposes only. (mathworks.com)
  • The major advantage that fuzzy reasoning offers is the ability to reply to a yes-no question with a not-quite-yes-or-no answer. (mathworks.com)
  • Reasoning in fuzzy logic is just a matter of generalizing the familiar yes-no (Boolean) logic. (mathworks.com)
Vague1
  • Fuzzy logic is a problem-solving methodology that is inspired by human decision-making, taking advantage of our ability to reason with vague or approximate data. (igi-global.com)
System9
  • In this paper, we propose an EWS system enhanced with the self-aware property confidence, which is based on fuzzy logic. (springer.com)
  • Fuzzy Logic's Repplix software module allows a robotic system to learn trajectories in a single gesture and without any specific training. (automation.com)
  • The software Fuzzy Studio provides a monitoring system via a real-time digital twin of the robotic installation, and takes into account collision monitoring and the feasibility of the trajectories in the robot's environment. (automation.com)
  • By the use of these circuit units a high speed fuzzy logic microprocessor for a real time hardware expert system has been designed. (dtic.mil)
  • Keeping in view a Fuzzy inference system using If-Then rules is designed to optimize the overall performance of disk drives. (scirp.org)
  • Performance evaluation of learning styles based on fuzzy logic inference system. (bvsalud.org)
  • The experimental results obtained shows that the fuzzy-based system is capable of producing satisfactory results when used for monitoring and classifying the clinical statuses of neonates in ICU incubators. (who.int)
  • I have build Fuzzy Logic Artificial Intelligence system since the late 1980's. (microbiomeprescription.com)
  • An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients. (cdc.gov)
Data8
  • In one of our previous works [ 13 ], we already presented a data reliability assessment technique based on fuzzy logic, which gives information about the trustfulness of the calculated EWS. (springer.com)
  • For the training and construction of the Fuzzy Forecast Model, data from 71 projects were used and 16 others residential buildings were used for its validation. (ufrgs.br)
  • He pointed out that conventional computer logic couldn't manipulate data to represent unclear ideas similar to humans. (upgrad.com)
  • But you can see it in many other fields too as it enables artificial intelligence to distinct data that doesn't align with Boolean logic. (upgrad.com)
  • Fuzzy logika a relační data. (cas.cz)
  • Statistics used in data analysis were testing fuzzy hypotheses by using fuzzy p-value and percentage. (nu.ac.th)
  • Nonparametric rank-based statistics and significance tests for fuzzy data. (nu.ac.th)
  • Testing hypotheses with fuzzy data: The fuzzy p-value. (nu.ac.th)
Algorithm1
  • An Iterative Algorithm for Fuzzy Quadratic Programming Problems. (uni-trier.de)
Foundations1
  • More than anything else, the following statement lays the foundations for fuzzy logic. (mathworks.com)
Paper2
  • Then, the purpose of this paper is to show that quantum fuzzy logic works well with time. (scirp.org)
  • In fact, this paper shows that quantum fuzzy logic is as closely related to time as it is to quantum mechanics. (scirp.org)
Toolbox2
  • The Fuzzy Logic Toolbox provides a graphical user interface to guide you through the steps of fuzzy design. (geometry.net)
  • The model was simulated using a fuzzy logic toolbox of MATLAB R2015A. (who.int)
Keywords1
  • Uses an array of strings to search for Keywords guided by the Lucene query language which can use fuzzy, wildcard, regular expression, and RegEx matching. (uipath.com)
Flowing Water2
  • Fuzzy Logic / Still Flowing Water. (bleep.com)
  • Fuzzy Logic' and 'Still Flowing Water' turn the full throttle headbanging up to eleven, both heavy hitters with nocturnal club vibes. (bleep.com)
Methodology1
  • In this article we demonstrate that fuzzy logic provides a methodology to formalize such regulations. (tue.nl)
Robotics1
  • Concepts and Fuzzy Models for Behavior-Based Robotics. (uni-trier.de)
Implementation1
  • VLSI implementation of fuzzy hardware. (dtic.mil)
Fundamental2
  • Por ello, la cuestión fundamental es precisar como interactúan dichos factores y determinar en qué medida una variable puede incidir sobre las demás desencadenando el proceso adictivo. (psicothema.com)
  • La lógica difusa desempeña un papel fundamental en muchos sistemas expertos médicos. (bvsalud.org)
Methods1
  • Criteria for evaluating fuzzy ranking methods. (nu.ac.th)
Concept3
  • Also we can use the concept of Fuzzy Set Theory to help us make decision in various areas such as in finance and management. (futurelearn.com)
  • And in AI, this concept is called Fuzzy logic. (upgrad.com)
  • Fuzzy logic starts with the concept of a fuzzy set. (mathworks.com)
10. Fuzzy Logic - AI for Game Developers [Book]
10. Fuzzy Logic - AI for Game Developers [Book] (oreilly.com)
February 2004, February 2004
February 2004, February 2004 (scientificamerican.com)
SR-DE183 Jar Rice Cooker - Panasonic
SR-DE183 Jar Rice Cooker - Panasonic (panasonic.com)
What is Fuzzy Logic | IGI Global
What is Fuzzy Logic | IGI Global (igi-global.com)
4 Best Fuzzy Logic Books for Beginners - BookAuthority
4 Best Fuzzy Logic Books for Beginners - BookAuthority (bookauthority.org)
WiSATS 2020 : 11th EAI International Conference on Wireless and Satellite Systems
WiSATS 2020 : 11th EAI International Conference on Wireless and Satellite Systems (wikicfp.com)
AML Glossary of Terms | ACAMS Trending Topics
AML Glossary of Terms | ACAMS Trending Topics (acams.org)
NH7 Weekender - Wikipedia
NH7 Weekender - Wikipedia (en.wikipedia.org)
Opinion | Communications of the ACM
Opinion | Communications of the ACM (cacm.acm.org)
Zeitschrift für wirtschaftlichen Fabrikbetrieb Volume 88 Issue 11
Zeitschrift für wirtschaftlichen Fabrikbetrieb Volume 88 Issue 11 (degruyter.com)
Benefits of Certification - NGLCC
Benefits of Certification - NGLCC (nglcc.org)
Non-learning artificial neural network approach to motion planning for the Pioneer robot | Semantic Scholar
Non-learning artificial neural network approach to motion planning for the Pioneer robot | Semantic Scholar (semanticscholar.org)
Observatorio de I+D+i UPM
Observatorio de I+D+i UPM (upm.es)
Best Zojirushi rice cooker | WRIC ABC 8News
Best Zojirushi rice cooker | WRIC ABC 8News (wric.com)
Actuators | Special Issues
Actuators | Special Issues (mdpi.com)
The Fuzzy Description Logic f-SHIN | Sciweavers
The Fuzzy Description Logic f-SHIN | Sciweavers (sciweavers.org)
Kinect Applications in Healthcare: Computer Science & IT Book Chapter | IGI Global
Kinect Applications in Healthcare: Computer Science & IT Book Chapter | IGI Global (igi-global.com)
2Pac / Tupac Shakur - Me Against the World (1995)
2Pac / Tupac Shakur - Me Against the World (1995) (groove.no)
ICCGI 2021
ICCGI 2021 (iaria.org)
Applied Sciences | Special Issue : AI-Based Image Processing
Applied Sciences | Special Issue : AI-Based Image Processing (mdpi.com)
FraudBlog Archives - Page 2 of 8 - InsuranceFraud.org
FraudBlog Archives - Page 2 of 8 - InsuranceFraud.org (insurancefraud.org)
From Truth Degree Comparison Games to Sequents-of-Relations Calculi for Gödel Logic | SpringerLink
From Truth Degree Comparison Games to Sequents-of-Relations Calculi for Gödel Logic | SpringerLink (link.springer.com)
1996, Vol. III, Núm. 3
1996, Vol. III, Núm. 3 (upcommons.upc.edu)
Code Project_net2005xd的博客-CSDN博客
Code Project_net2005xd的博客-CSDN博客 (blog.csdn.net)
Shanti Celeste - Cutie / Shimmer. Bleep.
Shanti Celeste - Cutie / Shimmer. Bleep. (bleep.com)
Computing, Mathematics, and Analytics > Queen's School of...
Computing, Mathematics, and Analytics > Queen's School of... (cs.queensu.ca)
Fuzzy Logic and CAIRE: On the Way to Automating the Painting Process
Fuzzy Logic and CAIRE: On the Way to Automating the Painting Process (automation.com)
Algorithmic Trading: Definition, How It Works, Pros & Cons
Algorithmic Trading: Definition, How It Works, Pros & Cons (investopedia.com)
(researchgate.net)
International Journal of Artificial Life Research (IJALR): 1947-3087, 1947-3079: Medicine & Healthcare Journals | IGI Global
International Journal of Artificial Life Research (IJALR): 1947-3087, 1947-3079: Medicine & Healthcare Journals | IGI Global (igi-global.com)
Index Catalog // ScholarsArchive@OSU
Index Catalog // [email protected] (ir.library.oregonstate.edu)
Fact Mix 866: Pariah
Fact Mix 866: Pariah (factmag.com)
Psicothema
Psicothema (psicothema.com)
Decision Support System: Tools and Techniques - 1st Edition - Susmita
Decision Support System: Tools and Techniques - 1st Edition - Susmita (routledge.com)