Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

  • Z. Bien
  • K. C. Min

Part of the Theory and Decision Library book series (TDLD, volume 16)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Intelligent Systems

    1. Front Matter
      Pages 1-1
    2. Zhenyuan Wang, George J. Klir, Germano Resconi
      Pages 3-13
    3. S. Tano, T. Arnould, Y. Kato, T. Miyoshi
      Pages 15-24
    4. Ikutaro Kumazaki, Eiichi Watanabe, Hitoshi Furuta
      Pages 35-43
    5. Swarup Medasani, Jaeseok Kim, Raghu Krishnapuram
      Pages 45-54
    6. Raghu Krishnapuram, Hichem Frigui, Olfa Nasraoui
      Pages 55-64
  3. Engineering

    1. Front Matter
      Pages 65-65
    2. T. H. Whalen, B. Schott
      Pages 91-99
    3. Yong Ho Kim, Hyun Chan Cho, Young Keel Choi, Hong Tae Jeon
      Pages 101-110
    4. Osamu Katai, Masaaki Ida, Tetsuo Sawaragi, Kiminori Shimamoto, Sosuke Iwai, Masahiro Terabe et al.
      Pages 111-122
    5. K. Kurosu, T. Furuya, M. Soeda, S. Takeuchi
      Pages 123-131
    6. Y. H. Joo, H. S. Hwang, K. B. Woo, K. B. Kim
      Pages 147-156
    7. Ronald R. Yager, Dimitar P. Filev
      Pages 157-166
    8. H. Hellendoorn, C. Thomas
      Pages 167-176
    9. M. Figueiredo, F. Gomide, W. Pedrycz
      Pages 177-186

About this book

Introduction

Fuzzy technology has emerged as one of the most exciting new concepts available. Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems. There are four main themes: intelligent systems, engineering, mathematical foundations, and information sciences.
Both academics and the technical community will learn how and why fuzzy logic is appreciated in the conceptual, design and manufacturing stages of intelligent systems, gaining an improved understanding of the basic science and the foundations of human reasoning.

Keywords

Analysis Pattern Recognition algorithms computer database fuzzy system intelligent systems linear optimization logic modeling optimization programming system modeling

Editors and affiliations

  • Z. Bien
    • 1
  • K. C. Min
    • 2
  1. 1.Korea Advanced Institute of Science and Technology (KAIST)TaejonKorea
  2. 2.Yonsei UniversitySeoulKorea

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-0125-4
  • Copyright Information Springer Science+Business Media B.V. 1995
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-6543-6
  • Online ISBN 978-94-009-0125-4
  • About this book
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