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.
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
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.. ...
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 ...
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 ...
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 ...
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 ...
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.
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
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. ...
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. ...
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.. ...
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
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 ...
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
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
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
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.
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 ...
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. ...
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 ...
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
FUZZY LOGICT.C.Kanish Assistant Professor (Sr.) VIT University OVERVIEW What is Fuzzy Logic? Where did it begin? What is MatLab Fu...
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
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 ...
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
An α-cut Automatic Set based on Fuzzy Binarization Using Fuzzy Logic - Image Processing;Fuzzy Binarization;Fuzzy Logic;Fuzzy Arithmetic Operation;Image Enhancement;
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 ...
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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
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 ...
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.. ...
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.
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
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 ...
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 ...
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 ...
Article An evaluation of LQR and fuzzy logic controllers for active suspension using half car model. The application of the linear quadratic regulator (LQR) ...
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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
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 ...
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 ...
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
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.
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
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.
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 ...
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 ...
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
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.. ...
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.
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 ...
Data Science, Big Data, Machine Learning, Soft Computing, Evolutionary Algorithms, Fuzzy Logic, Neural Networks, Environmental Applications, ...
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 ...
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
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 ...
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 ...
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 ...
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 ...
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. ...
With the development of intelligent information technology, the fuzzy neural network (FNN)algorithm is widely used in the industrial control application. A
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.
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. ...
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 ...
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 ...
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 ...
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% ...
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 ...
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. ...
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 ...
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.
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 ...
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 ...
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 ...
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
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
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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
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
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.
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 ...
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 ...
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
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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 ...
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 ...
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.
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 ...
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 ...
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 ...