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Recent Advances in Interval Type-2 Fuzzy Systems

  • Book
  • © 2012

Overview

Authors:
  1. Oscar Castillo

    1. , Calzada Tecnologico s/n, Tijuana Institute of Technology, Tijuana, Mexico

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    You can also search for this author in PubMed   Google Scholar

  2. Patricia Melin

    1. Tijuana Institute of Technology, Tijuana, Mexico

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    You can also search for this author in PubMed   Google Scholar

  • Reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques
  • 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
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES, volume 1)

Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

    • Oscar Castillo, Patricia Melin
    Pages 1-5

  3. Type-2 Fuzzy Logic Systems

    • Oscar Castillo, Patricia Melin
    Pages 7-12

  4. Bio-Inspired Optimization Methods

    • Oscar Castillo, Patricia Melin
    Pages 13-18

  5. Overview of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems

    • Oscar Castillo, Patricia Melin
    Pages 19-25

  6. Particle Swarm Optimization in the Design of Type-2 Fuzzy Systems

    • Oscar Castillo, Patricia Melin
    Pages 27-31

  7. Ant Colony Optimization Algorithms for the Design of Type-2 Fuzzy Systems

    • Oscar Castillo, Patricia Melin
    Pages 33-35

  8. Other Methods for Optimization of Type-2 Fuzzy Systems

    • Oscar Castillo, Patricia Melin
    Pages 37-43

  9. Simulation Results Illustrating the Optimization of Type-2 Fuzzy Controllers

    • Oscar Castillo, Patricia Melin
    Pages 45-62

  10. Genetic Optimization of Interval Type-2 Fuzzy Systems for Hardware Implementation on FPGAs

    • Oscar Castillo, Patricia Melin
    Pages 63-84

  11. General Overview of the Area and Future Trends

    • Oscar Castillo, Patricia Melin
    Pages 85-87

  12. Back Matter

    Pages 89-90
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Keywords

About this book

This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hybrid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a 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. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.

Authors and Affiliations

  • , Calzada Tecnologico s/n, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  • Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

Bibliographic Information

  • Book Title: Recent Advances in Interval Type-2 Fuzzy Systems

  • Authors: Oscar Castillo, Patricia Melin

  • Series Title: SpringerBriefs in Applied Sciences and Technology

  • DOI: https://doi.org/10.1007/978-3-642-28956-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Author(s) 2012

  • Softcover ISBN: 978-3-642-28955-2Published: 19 April 2012

  • eBook ISBN: 978-3-642-28956-9Published: 23 April 2012

  • Series ISSN: 2191-530X

  • Series E-ISSN: 2191-5318

  • Edition Number: 1

  • Number of Pages: X, 90

  • Number of Illustrations: 17 b/w illustrations, 35 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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