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Fuzzy Logic and Intelligent Systems

Part of the International Series in Intelligent Technologies book series (ISIT, volume 3)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. M. Mizumoto
    Pages 1-16
  3. Liang Jin, Madan M. Gupta, Peter N. Nikiforuk
    Pages 17-67
  4. Robert Lowen
    Pages 69-83
  5. Jia Luo, Edward Lan
    Pages 85-124
  6. Nowell Godfrey, Hua Li, Yuandong Ji, William Marcy
    Pages 157-185
  7. Koji Shimojima, Toshio Fukuda, Fumihito Arai, Hideo Matsuura
    Pages 213-243
  8. Sukir Kumaresan, Hua Li, Xing-Min Li
    Pages 245-269
  9. Hugues Bersini, Vittorio Gorrini
    Pages 289-309
  10. Liang Jin, Madan M. Gupta, Peter N. Nikiforuk
    Pages 367-408
  11. Kitahiro Kaneda, Paul Wang
    Pages 409-421
  12. Srinivas Ramamurthy, Jayanta Pal, Ak Sinha, Darwish Al Gobaisi, Ganti Rao
    Pages 423-445
  13. Back Matter
    Pages 447-450

About this book

Introduction

One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems.
Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.

Keywords

Analysis Racter evolution fuzzy fuzzy control fuzzy logic fuzzy system intelligent systems linear optimization neural network programming robot sensing uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/b102307
  • Copyright Information Kluwer Academic Publishers 1995
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-9575-1
  • Online ISBN 978-0-585-28000-4
  • Series Print ISSN 1382-3434
  • Buy this book on publisher's site