Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways PDF · The Extension Principle and Applications. H.-J. Zimmermann. Prices and other details are subject to change without notice. All errors and omissions excepted. H.-J. Zimmermann. Fuzzy Set Theory—and Its Applications. Library of Congress Cataloging-in-Publication Data. Zimmermann, H.-J. (Hans- Jurgen), Fuzzy set theory--and its applications / H.-J. Zimmermann. -- 3rd.
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Library of Congress Cataloging-in-Publication Data. Zimmermann, H.-J. (Hans- Jiirgen), Fuzzy set theory--and its applieations / H.-J. Zimmermannth ed. 𝗣𝗗𝗙 | Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set Hans-Jürgen Zimmermann at RWTH Aachen University. Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many Applications of fuzzy technology can be found in artificial intelligence, DRM-free; Included format: PDF; ebooks can be used on all reading devices.
It may also be useful for practitioners that want to update their knowledge of fuzzy technology and look for new applications in their area. The Extension Principle and Applications. Fuzzy Analysis. Back Matter Pages Theoretical advances, too, have been made in many directions, and a gap has arisen between advanced theoretical topics and applications, which often use the theory at a rather elementary level.
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 …mehr. Augsburg Ust-IdNr.
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Preface to the Fourth Edition. Introduction to Fuzzy Sets. Part I: Fuzzy Mathematics.
Fuzzy Sets - Basic Definitions. Fuzzy Measures and Measures of Fuzziness. The Extension Principle and Applications.
Fuzzy Relations and Fuzzy Graphs. Pattern Recognition. Decision Making in Fuzzy Environments. Fuzzy Set Models in Operations Research. Empirical Research in Fuzzy Set Theory.
Future Perspectives. Back Matter Pages About this book Introduction Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, robotics and others.
Theoretical advances, too, have been made in many directions, and a gap has arisen between advanced theoretical topics and applications, which often use the theory at a rather elementary level. The primary goal of this book is to close this gap - to provide a textbook for courses in fuzzy set theory and a book that can be used as an introduction.
This revised book updates the research agenda, with the chapters of possibility theory, fuzzy logic and approximate reasoning, expert systems and control, decision making and fuzzy set models in operations research being restructured and rewritten. Exercises have been added to almost all chapters and a teacher's manual is available upon request.
Extension cognition control decision theory expert system fuzziness fuzzy logic fuzzy mathematics fuzzy sets intelligence mathematics operations research pattern recognition robotics set theory. Bibliographic information DOI https: Buy options.