Type-2 Fuzzy Logic: Theory and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3540762833
Total Pages : 252 pages
Book Rating : 4.36/5 ( download)

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Book Synopsis Type-2 Fuzzy Logic: Theory and Applications by : Oscar Castillo

Download or read book Type-2 Fuzzy Logic: Theory and Applications written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2008-02-20 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.

Introduction To Type-2 Fuzzy Logic Control

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118901444
Total Pages : 470 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis Introduction To Type-2 Fuzzy Logic Control by : Jerry Mendel

Download or read book Introduction To Type-2 Fuzzy Logic Control written by Jerry Mendel and published by John Wiley & Sons. This book was released on 2014-06-16 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory book that provides theoretical, practical, and application coverage of the emerging field of type-2 fuzzy logic control Until recently, little was known about type-2 fuzzy controllers due to the lack of basic calculation methods available for type-2 fuzzy sets and logic—and many different aspects of type-2 fuzzy control still needed to be investigated in order to advance this new and powerful technology. This self-contained reference covers everything readers need to know about the growing field. Written with an educational focus in mind, Introduction to Type-2 Fuzzy Logic Control: Theory and Applications uses a coherent structure and uniform mathematical notations to link chapters that are closely related, reflecting the book’s central themes: analysis and design of type-2 fuzzy control systems. The book includes worked examples, experiment and simulation results, and comprehensive reference materials. The book also offers downloadable computer programs from an associated website. Presented by world-class leaders in type-2 fuzzy logic control, Introduction to Type-2 Fuzzy Logic Control: Is useful for any technical person interested in learning type-2 fuzzy control theory and its applications Offers experiment and simulation results via downloadable computer programs Features type-2 fuzzy logic background chapters to make the book self-contained Provides an extensive literature survey on both fuzzy logic and related type-2 fuzzy control Introduction to Type-2 Fuzzy Logic Control is an easy-to-read reference book suitable for engineers, researchers, and graduate students who want to gain deep insight into type-2 fuzzy logic control.

Type-2 Fuzzy Logic and Systems

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Publisher : Springer
ISBN 13 : 331972892X
Total Pages : 148 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Type-2 Fuzzy Logic and Systems by : Robert John

Download or read book Type-2 Fuzzy Logic and Systems written by Robert John and published by Springer. This book was released on 2018-02-07 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores recent perspectives on type-2 fuzzy sets. Written as a tribute to Professor Jerry Mendel for his pioneering works on type-2 fuzzy sets and systems, it covers a wide range of topics, including applications to the Go game, machine learning and pattern recognition, as well as type-2 fuzzy control and intelligent systems. The book is intended as a reference guide for the type-2 fuzzy logic community, yet it aims also at other communities dealing with similar methods and applications.

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

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Publisher : Springer Nature
ISBN 13 : 3030354458
Total Pages : 792 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications by : Oscar Castillo

Download or read book Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications written by Oscar Castillo and published by Springer Nature. This book was released on 2020-02-27 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

Type-2 Fuzzy Logic in Intelligent Control Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642246621
Total Pages : 187 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Type-2 Fuzzy Logic in Intelligent Control Applications by : Oscar Castillo

Download or read book Type-2 Fuzzy Logic in Intelligent Control Applications written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2011-10-18 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.

Uncertain Rule-Based Fuzzy Systems

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Publisher : Springer
ISBN 13 : 3319513702
Total Pages : 684 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Uncertain Rule-Based Fuzzy Systems by : Jerry M. Mendel

Download or read book Uncertain Rule-Based Fuzzy Systems written by Jerry M. Mendel and published by Springer. This book was released on 2017-05-17 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.

Advances in Type-2 Fuzzy Sets and Systems

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Publisher : Springer
ISBN 13 : 1461466660
Total Pages : 263 pages
Book Rating : 4.66/5 ( download)

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Book Synopsis Advances in Type-2 Fuzzy Sets and Systems by : Alireza Sadeghian

Download or read book Advances in Type-2 Fuzzy Sets and Systems written by Alireza Sadeghian and published by Springer. This book was released on 2013-06-25 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties of type-2 fuzzy sets, geometric-based definition of type-2 fuzzy set operators, generalizations of the continuous KM algorithm, adaptiveness and novelty of interval type-2 fuzzy logic controllers, relations between conceptual spaces and type-2 fuzzy sets, type-2 fuzzy logic systems versus perceptual computers; modeling human perception of real world concepts with type-2 fuzzy sets, different methods for generating membership functions of interval and general type-2 fuzzy sets, and applications of interval type-2 fuzzy sets to control, machine tooling, image processing and diet. The applications demonstrate the appropriateness of using type-2 fuzzy sets and systems in real world problems that are characterized by different degrees of uncertainty.

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models

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Author :
Publisher : Springer
ISBN 13 : 3540737235
Total Pages : 674 pages
Book Rating : 4.30/5 ( download)

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Book Synopsis Fuzzy Sets and Their Extensions: Representation, Aggregation and Models by : Humberto Bustince

Download or read book Fuzzy Sets and Their Extensions: Representation, Aggregation and Models written by Humberto Bustince and published by Springer. This book was released on 2007-10-30 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions. It pays particular attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modeling and solving problems. The book’s 34 chapters deal with the subject with clarity and effectiveness. They include four review papers introducing some non-standard representations

Type-2 Fuzzy Decision-Making Theories, Methodologies and Applications

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Publisher : Springer
ISBN 13 : 9789811398902
Total Pages : 0 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Type-2 Fuzzy Decision-Making Theories, Methodologies and Applications by : Jindong Qin

Download or read book Type-2 Fuzzy Decision-Making Theories, Methodologies and Applications written by Jindong Qin and published by Springer. This book was released on 2019-08-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent years and offers an authoritative treatise on the essential topics, both at the theoretical and applied end. In this book, some basic theory, type-2 fuzzy sets, methodology, algorithms, are introduced and then some compelling case studies in decision problems are covered in depth. The authors offer an authoritative treatise on the essential topics, both at the theoretical and applied end; In a systematic and logically organized way, the book exposes the reader to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications. Numerous techniques of decision making are carefully generalized by bringing the ideas of type-2 fuzzy sets; this concerns well-known methods including TOPSIS, Analytical Network Process, TODIM, and VIKOR. This book exposes the readers to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications.

Fuzzy Logic and Soft Computing

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Author :
Publisher : World Scientific
ISBN 13 : 9814500089
Total Pages : 508 pages
Book Rating : 4.81/5 ( download)

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Book Synopsis Fuzzy Logic and Soft Computing by : Bernadette Bouchon-Meunier

Download or read book Fuzzy Logic and Soft Computing written by Bernadette Bouchon-Meunier and published by World Scientific. This book was released on 1995-09-15 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning. This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field. Contents:Fuzzy Logic and Genetic AlgorithmsLearningFuzzy and Hybrid SystemsDecision and Aggregation TechniquesFuzzy Logic in DatabasesFoundations of Fuzzy LogicApplications of Fuzzy Sets Readership: Researchers and computer scientists. keywords: