Fuzzy Set Theory-and Its Applications / Edition 4

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More About This Textbook

Overview

This introduction to fuzzy set theory and its multitude of applications seeks to balance the character of the book with the dynamic nature of the research. This edition includes new 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. Existing material has been updated, and extended exercises are included.
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Editorial Reviews

Booknews
New edition of a text explaining the theory's concepts and applications, and how they relate to their classical counterparts. Abundant examples show how the theory can be applied to the solution of realistic problems--and how it can lead to results not obtainable by classical methods. Although the field has rapidly evolved--fuzzy set theory, artificial neural net, and genetic algorithms have moved closed together and are now known as "computational intelligence," this text continues to provide access at a basic level. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780792374350
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 11/30/2001
  • Edition description: 4th ed. 2001
  • Edition number: 4
  • Pages: 539
  • Product dimensions: 1.25 (w) x 6.14 (h) x 9.21 (d)

Table of Contents

List of Figures. List of Tables. Foreword. Preface. Preface to the Fourth Edition. 1. Introduction to Fuzzy Sets. Part I: Fuzzy Mathematics. 2. Fuzzy Sets - Basic Definitions. 3. Extensions. 4. Fuzzy Measures and Measures of Fuzziness. 5. The Extension Principle and Applications. 6. Fuzzy Relations and Fuzzy Graphs. 7. Fuzzy Analysis. 8. Uncertainty Modeling. Part II: Applications of Fuzzy Set Theory. 9. Fuzzy Logic and Approximate Reasoning. 10. Fuzzy Sets and Expert Systems. 11. Fuzzy Control. 12. Fuzzy Data Bases and Queries. 13. Fuzzy Data Analysis. 14. Decision Making in Fuzzy Environments. 15. Applications of Fuzzy Sets in Engineering and Management. 16. Empirical Research in Fuzzy Set Theory. 17. Future Perspectives.

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