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Type-2 Fuzzy Logic: Theory and Applications

  • Book
  • © 2008

Overview

Authors:
  1. Oscar Castillo
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  2. Patricia Melin
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  • Presents theory and applications of Type-2 Fuzzy Logic

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 223)

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Table of contents (17 chapters)

  1. Front Matter

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  2. 1 Introduction to Type-2 Fuzzy Logic

    • Oscar Castillo, Patricia Melin
    Pages 1-4

  3. 2 Type-1 Fuzzy Logic

    • Oscar Castillo, Patricia Melin
    Pages 5-28

  4. 3 Type-2 Fuzzy Logic

    • Oscar Castillo, Patricia Melin
    Pages 29-43

  5. 4 A Method for Type-2 Fuzzy Inference in Control Applications

    • Oscar Castillo, Patricia Melin
    Pages 45-52

  6. 5 Design of Intelligent Systems with Interval Type-2 Fuzzy Logic

    • Oscar Castillo, Patricia Melin
    Pages 53-76

  7. 6 Method for Response Integration in Modular Neural Networks with Type-2 Fuzzy Logic

    • Oscar Castillo, Patricia Melin
    Pages 77-86

  8. 7 Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition

    • Oscar Castillo, Patricia Melin
    Pages 87-94

  9. 8 Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection

    • Oscar Castillo, Patricia Melin
    Pages 95-107

  10. 9 Systematic Design of a Stable Type-2 Fuzzy Logic Controller

    • Oscar Castillo, Patricia Melin
    Pages 109-120

  11. 10 Experimental Study of Intelligent Controllers Under Uncertainty Using Type-1 and Type-2 Fuzzy Logic

    • Oscar Castillo, Patricia Melin
    Pages 121-132

  12. 11 Evolutionary Optimization of Interval Type-2 Membership Functions Using the Human Evolutionary Model

    • Oscar Castillo, Patricia Melin
    Pages 133-144

  13. 12 Design of Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox

    • Oscar Castillo, Patricia Melin
    Pages 145-154

  14. 13 Intelligent Control of the Pendubot with Interval Type-2 Fuzzy Logic

    • Oscar Castillo, Patricia Melin
    Pages 155-170

  15. 14 Automated Quality Control in Sound Speakers Manufacturing Using a Hybrid Neuro-fuzzy-Fractal Approach

    • Oscar Castillo, Patricia Melin
    Pages 171-185

  16. 15 A New Approach for Plant Monitoring Using Type-2 Fuzzy Logic and Fractal Theory

    • Oscar Castillo, Patricia Melin
    Pages 187-202

  17. 16 Intelligent Control of Autonomous Robotic Systems Using Interval Type-2 Fuzzy Logic and Genetic Algorithms

    • Oscar Castillo, Patricia Melin
    Pages 203-212

  18. 17 Adaptive Noise Cancellation Using Type-2 Fuzzy Logic and Neural Networks

    • Oscar Castillo, Patricia Melin
    Pages 213-223

  19. Back Matter

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Keywords

About this book

We describe in this book, new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems. In this book, we are extending 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 te- nique offers. We consider in this book the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in real-world applications. We c- sider in particular the problems of face, fingerprint and voice recognition. We also consider the problem of recognizing a person by integrating the information given by the face, fingerprint and voice of the person. Other types of applications solved with type-2 fuzzy logic and SC techniques, include intelligent control, intelligent manuf- turing, and adaptive noise cancellation. This book is intended to be a major reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation.

Reviews

From the reviews:

“This research monograph offers a broad coverage of the recent developments in … type-2 fuzzy sets and fuzzy systems. … The monograph is arranged into 17 concise and well-focused chapters covering a wealth of applications and methodologies of type-2 fuzzy sets. … chapters brings some useful motivating notes and elaborates on the algorithms pertinent to the problem at hand. … a timely compendium of applications of type-2 fuzzy systems and offers the reader a sound overview of design techniques supporting the construction of such architectures.” (Witold Pedrycz, Zentralblatt MATH, Vol. 1171, 2009)

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