Fuzzy Systems Design
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Fuzzy Systems Design
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Author : Leonid Reznik
language : en
Publisher: Physica
Release Date : 2013-06-29
Fuzzy Systems Design written by Leonid Reznik and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Business & Economics categories.
Fuzzy logic is a way of thinking that is responsive to human zeal to unveil uncertainty and deal with social paradoxes emerging from it. In this book a number of articles illustrate various social applications to fuzzy logic. The engineering part of the book contains a number of papers, devoted to the description of fuzzy engineering design methodologies. In order to share the experience gained we select papers describing not the application result only but the way how this result has been obtained, that is explaining the design procedures. The potential readership of this book includes researchers and students, workers and engineers in both areas of social and engineering studies. It can be used as a handbook and textbook also. The book includes some examples of real fuzzy engineering.
Fuzzy Systems Design Principles
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Author : Riza C. Berkan
language : en
Publisher: Wiley-IEEE Press
Release Date : 1997-05-11
Fuzzy Systems Design Principles written by Riza C. Berkan and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-05-11 with Technology & Engineering categories.
This exceptional guide and reference is devised for practitioners who want to employ fuzzy logic concepts in the design and deployment of actual fuzzy systems. FUZZY SYSTEMS DESIGN PRINCIPLES concentrates on the IF-THEN fuzzy algorithm, one of the most popular algorithms implemented today. The "basic fuzzy inference algorithm," the IF-THEN structure is not only applicable to many types of problems, but is also comprised of building blocks used in the development of other types of fuzzy systems used in today's electronic and software products. Sponsored by: IEEE Neural Networks Council.
Fuzzy Control Systems Design And Analysis
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Author : Kazuo Tanaka
language : en
Publisher: John Wiley & Sons
Release Date : 2004-04-07
Fuzzy Control Systems Design And Analysis written by Kazuo Tanaka and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-07 with Science categories.
A comprehensive treatment of model-based fuzzy controlsystems This volume offers full coverage of the systematic framework forthe stability and design of nonlinear fuzzy control systems.Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wangaddress a number of important issues in fuzzy control systems,including stability analysis, systematic design procedures,incorporation of performance specifications, numericalimplementations, and practical applications. Issues that have not been fully treated in existing texts, suchas stability analysis, systematic design, and performance analysis,are crucial to the validity and applicability of fuzzy controlmethodology. Fuzzy Control Systems Design and Analysis addressesthese issues in the framework of parallel distributed compensation,a controller structure devised in accordance with the fuzzymodel. This balanced treatment features an overview of fuzzy control,modeling, and stability analysis, as well as a section on the useof linear matrix inequalities (LMI) as an approach to fuzzy designand control. It also covers advanced topics in model-based fuzzycontrol systems, including modeling and control of chaotic systems.Later sections offer practical examples in the form of detailedtheoretical and experimental studies of fuzzy control in roboticsystems and a discussion of future directions in the field. Fuzzy Control Systems Design and Analysis offersan advanced treatment of fuzzy control that makes a usefulreference for researchers and a reliable text for advanced graduatestudents in the field.
Advanced Fuzzy Systems Design And Applications
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Author : Yaochu Jin
language : en
Publisher: Springer Science & Business Media
Release Date : 2003
Advanced Fuzzy Systems Design And Applications written by Yaochu Jin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing with knowledge incorporation into neural and evolutionary systems and knowledge extraction from data with the help of fuzzy logic. On the one hand, knowledge that is understandable to human beings can be extracted from data using evolutionary and learning methods by maintaining the interpretability of the generated fuzzy rules. On the other hand, a priori knowledge like expert knowledge and human preferences can be incorporated into evolution and learning, taking advantage of the knowledge representation capability of fuzzy rule systems and fuzzy preference models. Several engineering application examples in the fields of intelligent vehicle systems, process modeling and control and robotics are presented.
Fuzzy Systems Design
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Author : Leonid Reznik
language : en
Publisher:
Release Date : 2014-01-15
Fuzzy Systems Design written by Leonid Reznik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Design Of Interpretable Fuzzy Systems
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Author : Krzysztof Cpałka
language : en
Publisher: Springer
Release Date : 2017-01-31
Design Of Interpretable Fuzzy Systems written by Krzysztof Cpałka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-31 with Technology & Engineering categories.
This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base. The individual chapters describe various aspects of interpretability, including appropriate selection of the structure of a fuzzy system, focusing on improving the interpretability of fuzzy systems designed using both gradient-learning and evolutionary algorithms. It also demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction does not adversely affect system accuracy. It illustrates the performance of the developed algorithms and methods with commonly used benchmarks. The book provides valuable tools for possible applications in many fields including expert systems, automatic control and robotics.
Fuzzy Systems Design Principles
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Author : Riza C. Berkan
language : en
Publisher:
Release Date : 2000
Fuzzy Systems Design Principles written by Riza C. Berkan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Fuzzy systems categories.
This is a valuable guide and reference for practitioners looking to employ fuzzy logic concepts in the design and development of actual fuzzy systems. This book concentrates on the basic IF-THEN fuzzy algorithm, one of the most popular algorithms implemented today. The book presents a balanced mixture of theory and application within a typical design framework.
Advanced Fuzzy Systems Design And Applications
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Author : Yaochu Jin
language : en
Publisher: Physica
Release Date : 2012-12-06
Advanced Fuzzy Systems Design And Applications written by Yaochu Jin and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.
Fuzzy Logic In Intelligent System Design
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Author : Patricia Melin
language : en
Publisher: Springer
Release Date : 2017-09-30
Fuzzy Logic In Intelligent System Design written by Patricia Melin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-30 with Technology & Engineering categories.
This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models
Adaptive Fuzzy Systems And Control
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Author : Li-Xin Wang
language : en
Publisher: Prentice Hall
Release Date : 1994
Adaptive Fuzzy Systems And Control written by Li-Xin Wang and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
This volume develops a variety of adaptive fuzzy systems and applies them to a variety of engineering problems. It summarizes the state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems.