Fuzzy Set Theory-and Its Applications - Rilegato

Zimmermann, Hans-Jürgen

 
9780792374350: Fuzzy Set Theory-and Its Applications

Sinossi

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 this book is to provide an introduction to fuzzy set theory and to also act as a textbook. To balance the character of a textbook with the dynamic nature of this research, references have been added to develop a deeper understanding for the interested reader. The text 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, and a teacher's manual is available upon request.

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Recensione

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.'

Contenuti

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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