Fuzzy Set Theory - and Its Applications / Edition 3

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More About This Textbook

Overview

Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the subject. The character of a textbook is balanced with the dynamic nature of the research in the field by including many useful references to develop a deeper understanding among interested readers.
The book updates the research agenda (which has witnessed profound and startling advances since its inception some 30 years ago) 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. All chapters have been updated. 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: 9780792396246
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 4/30/1996
  • Edition description: 3rd ed. 1996
  • Edition number: 3
  • Pages: 455
  • Product dimensions: 6.14 (w) x 9.21 (h) x 1.00 (d)

Table of Contents

List of figures. List of tables. Foreword. Preface. Preface to the Third Edition. 1. Introduction to fuzzy sets. Part One: 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. Possibility theory, probability theory, and fuzzy set theory. Part Two: Applications of fuzzy set theory. 9. Fuzzy logic and approximate reasoning. 10. Fuzzy sets and expert systems. 11. Fuzzy control. 12. Fuzzy data analysis. 13. Decision making in fuzzy environments. 14. Fuzzy set models in operations research. 15. Empirical research in fuzzy set theory. 16. Future perspectives. Bibliography. Index.

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