Recent Advances in Interval Type-2 Fuzzy Systems

  • Oscar Castillo
  • Patricia Melin

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

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL, volume 1)

Table of contents

  1. Front Matter
    Pages i-x
  2. Oscar Castillo, Patricia Melin
    Pages 1-5
  3. Oscar Castillo, Patricia Melin
    Pages 7-12
  4. Oscar Castillo, Patricia Melin
    Pages 13-18
  5. Oscar Castillo, Patricia Melin
    Pages 27-31
  6. Oscar Castillo, Patricia Melin
    Pages 37-43
  7. Oscar Castillo, Patricia Melin
    Pages 85-87
  8. Back Matter
    Pages 89-90

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 hy-brid 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 con-sider 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.


Bio-inspired Optimization Techniques Computational Intelligence Type-2 Fuzzy Logic

Authors and affiliations

  • Oscar Castillo
    • 1
  • Patricia Melin
    • 2
  1. 1., Calzada Tecnologico s/nTijuana Institute of TechnologyTijuanaMexico
  2. 2.Tijuana Institute of TechnologyTijuanaMexico

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-28955-2
  • Online ISBN 978-3-642-28956-9
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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