Type-2 Fuzzy Logic: Theory and Applications

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Release : 2008-02-20
Genre : Mathematics
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Book Rating : 833/5 ( reviews)

Type-2 Fuzzy Logic: Theory and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Type-2 Fuzzy Logic: Theory and Applications write by Oscar Castillo. This book was released on 2008-02-20. Type-2 Fuzzy Logic: Theory and Applications available in PDF, EPUB and Kindle. 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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Release : 2014-06-16
Genre : Technology & Engineering
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Book Rating : 444/5 ( reviews)

Introduction To Type-2 Fuzzy Logic Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction To Type-2 Fuzzy Logic Control write by Jerry Mendel. This book was released on 2014-06-16. Introduction To Type-2 Fuzzy Logic Control available in PDF, EPUB and Kindle. 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.

Advances in Type-2 Fuzzy Sets and Systems

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Release : 2013-06-25
Genre : Technology & Engineering
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Book Rating : 660/5 ( reviews)

Advances in Type-2 Fuzzy Sets and Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Type-2 Fuzzy Sets and Systems write by Alireza Sadeghian. This book was released on 2013-06-25. Advances in Type-2 Fuzzy Sets and Systems available in PDF, EPUB and Kindle. 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.

Type-2 Fuzzy Logic in Intelligent Control Applications

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Release : 2011-10-18
Genre : Computers
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Book Rating : 621/5 ( reviews)

Type-2 Fuzzy Logic in Intelligent Control Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Type-2 Fuzzy Logic in Intelligent Control Applications write by Oscar Castillo. This book was released on 2011-10-18. Type-2 Fuzzy Logic in Intelligent Control Applications available in PDF, EPUB and Kindle. 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.

Modeling Uncertainty with Fuzzy Logic

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Release : 2009-04-01
Genre : Computers
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Book Rating : 243/5 ( reviews)

Modeling Uncertainty with Fuzzy Logic - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Uncertainty with Fuzzy Logic write by Asli Celikyilmaz. This book was released on 2009-04-01. Modeling Uncertainty with Fuzzy Logic available in PDF, EPUB and Kindle. The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, “The only satisfactory description of uncertainty is probability.