Fuzzy Set Theory—and Its Applications

  • Authors
  • H.-J. Zimmermann

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Introduction to Fuzzy Sets

    1. H.-J. Zimmermann
      Pages 1-8
  3. Fuzzy Mathematics

    1. Front Matter
      Pages 9-9
    2. H.-J. Zimmermann
      Pages 11-21
    3. H.-J. Zimmermann
      Pages 23-45
    4. H.-J. Zimmermann
      Pages 47-53
    5. H.-J. Zimmermann
      Pages 55-69
    6. H.-J. Zimmermann
      Pages 71-91
    7. H.-J. Zimmermann
      Pages 93-109
    8. H.-J. Zimmermann
      Pages 111-138
  4. Applications of Fuzzy Set Theory

    1. Front Matter
      Pages 139-139
    2. H.-J. Zimmermann
      Pages 141-183
    3. H.-J. Zimmermann
      Pages 185-222
    4. H.-J. Zimmermann
      Pages 223-264
    5. H.-J. Zimmermann
      Pages 265-275
    6. H.-J. Zimmermann
      Pages 277-328
    7. H.-J. Zimmermann
      Pages 329-370
    8. H.-J. Zimmermann
      Pages 443-475
    9. H.-J. Zimmermann
      Pages 477-479

About this book

Introduction

Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, robotics, and others. Theoretical advances have been made in many directions.
The primary goal of Fuzzy Set Theory - and its Applications, Fourth Edition is to provide a textbook for courses in fuzzy set theory, and a book that can be used as an introduction. To balance the character of a textbook with the dynamic nature of this research, many useful references have been added to develop a deeper understanding for the interested reader.
Fuzzy Set Theory - and its Applications, Fourth Edition updates the research agenda with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research. Chapters have been updated and extended exercises are included.

Keywords

Fuzzy Operations Research artificial intelligence calculus control engineering decision theory expert system fuzzy logic intelligence robot robotics set theory sets uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-010-0646-0
  • Copyright Information Kluwer Academic Publishers 2001
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-3870-6
  • Online ISBN 978-94-010-0646-0
  • About this book
Industry Sectors
Telecommunications
Oil, Gas & Geosciences