Fuzzy Set Theory--and Its Applications / Edition 3

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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

From the Publisher
Praise for the Second Edition:
'[This book] can be quite useful for anyone interested in fuzzy set theory .... Those teaching courses in fuzzy set theory, especially in a more practical rather than abstract context, would do well to consider this textbook. Zimmerman has compiled a collection of information that is useful, clearly presented, and with the latest revision, reflects much current research.'
International Journal of General Systems, 21 (1992)
'I highly recommend this text for students, both novice and advanced in theory and applications, academics and industrial researchers. Of course, this book is a must for all academic libraries. Indeed, Professor Zimmermann, who as a researcher, author, editor and organizer of international meetings has contributed so much for the cause of the fuzzy sets and systems and the fuzzy community, deserves our compliments.'
Madan M. Gupta, University of Saskatchewan in OPSearch
'The up-to-date content as well as the author's style and method of presentation make the book to be one of the best presentations of the whole field of fuzziness and will maintain its role as one of the preferred introductions into that topic.'
European Journal of Operations Research
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)
From the Publisher
From the preface to the Fourth Edition by H.-J. Zimmermann
'I hope that this new edition of my textbook will help to keep respective courses in universities and elsewhere up-to-date and challenging and motivating for students as well as professors. It may also be useful for practitioners that want to update their knowledge of fuzzy technology and look for new applications in their area.'
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Product Details

  • ISBN-13: 9780792396246
  • Publisher: Springer Netherlands
  • Publication date: 4/30/1996
  • Edition description: 3rd ed. 1996
  • Edition number: 3
  • Pages: 435
  • 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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