|Statement||by L.A. Zadeh ; edited by R.R. Yager ... [et al.].|
|Contributions||Yager, Ronald R., 1941-|
|LC Classifications||QA248 .Z32 1987|
|The Physical Object|
|Pagination||684 p. :|
|Number of Pages||684|
|LC Control Number||87006088|
Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as by: PDF | On Jun 1, , Siegfried Gottwald and others published Fuzzy Sets, Fuzzy Logic, Fuzzy Methods with Applications | Find, read and cite all the research you need on ResearchGate. 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 : Hans-Jürgen Zimmermann. Fuzzy Sets and Fuzzy Logic: Theory and Applications George J. Klir, Bo Yuan Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy.
Fuzzy Sets and Their Applications to Cognitive and Decision Processes contains the proceedings of the U.S.-Japan Seminar on Fuzzy Sets and Their Applications, held at the University of California in Berkeley, California, on July , Get this from a library! Fuzzy sets, fuzzy logic, fuzzy methods with applications. [Hans Bandemer; Siegfried Gottwald] -- Continuing research in fuzzy theory has dramatically developed the field of intelligent systems. Presenting a highly accessible introduction to . This volume contains the most significant papers written by L. A. Zadeh, who in introduced the concept of a fuzzy set. Fuzzy set theory has become the foundation for the development of the fields of artificial intelligence and expert systems, especially in the applications of knowledge-based systems.4/4(1). Presently, intuitionistic fuzzy sets are an object of intensive research by scholars and scientists from over ten countries. This book is the first attempt for a more comprehensive and complete report on the intuitionistic fuzzy set theory and its more relevant applications in a variety of diverse fields.
The unique feature of the book is twofold: 1) It is the first introductory course (with examples and exercises) which brings in a systematic way fuzzy sets and fuzzy logic into the educational university and college system. The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the founder of the intuitionistic fuzzy sets, Prof. Krassimir Atanassov, giving a special emphasis to the practical applications of this extension. Addresses Basic Concepts: Fuzzy set theory is an analytic framework for handling concepts that are simultaneously categorical and dimensional. Starting with a rationale for fuzzy sets, this book introduces readers with an elementary knowledge of statistics to the necessary concepts and techniques of fuzzy set theory and fuzzy logic. In mathematics, fuzzy sets (a.k.a. uncertain sets) are somewhat like sets whose elements have degrees of membership. Fuzzy sets were introduced independently by Lotfi A. Zadeh and Dieter Klaua  in as an extension of the classical notion of set. At the same time, Salii () defined a more general kind of structure called an L-relation, which he studied in an abstract algebraic context.