Fuzzy Set Theory: Foundations and Applications
This book is designed to help anyone understand the basics of fuzzy sets, whether or not they have a mathematical background. Get and download textbook Fuzzy Set Theory: Foundations and Applications for free
Pearson Education (Us) | 1997 | 256 pages | ISBN-13: 9780133410587 | ISBN-10: 0133410587 | You save 15%
B> The book first presents a basic grounding in information theory, classical logic and set theories. Next, it introduces the basics of fuzzy sets, distinguishing them from traditional crisp sets, and introducing the concept of membership function. The distinctions between classical and fuzzy relations are introduced, as are representations of fuzzy relations; fuzzy equivalence relations; fuzzy partial orderings, and related topics. The book introduces fuzzy arithmetic and fuzzy numbers. It also presents a detailed introduction to fuzzy logic, multivalued logics, fuzzy propositions, quantifiers, linguistic he Fuzzy Set Theory new edition
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Axiomatic fuzzy set theory and its applications: Witold Pedrycz, Xiaodong Liu
This introduction to fuzzy set theory and its multitude of applications seeks to balance the character of the book with the dynamic nature of the research. This edition includes new 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. Existing material has been updated, and extended exercises are included. *Author: Zimmermann, H. -J/ Zimmerman, Hans-Jurgen *Binding Type: Hardcover *Number of Pages: 548 *Publication Date: 2001/11/30 *Language: English *Dimensions: 9
Categories: Fuzzy sets. Contributors: Valerie V. Cross - Author. Format: Paperback
Categories: Fuzzy sets. Contributors: Da Ruan - Author. Format: Hardcover
Fuzzy Set Theory Textbook
B> The book first presents a basic grounding in information theory, classical logic and set theories. Next, it introduces the basics of fuzzy sets, distinguishing them from traditional crisp sets, and introducing the concept of membership function. The distinctions between classical and fuzzy relations are introduced, as are representations of fuzzy relations; fuzzy equivalence relations; fuzzy partial orderings, and related topics. The book introduces fuzzy arithmetic and fuzzy numbers
> The book first presents a basic grounding in information theory, classical logic and set theories. Next, it introduces the basics of fuzzy sets, distinguishing them from traditional crisp sets, and introducing the concept of membership function. The distinctions between classical and fuzzy relations are introduced, as are representations of fuzzy relations; fuzzy equivalence relations; fuzzy partial orderings, and related topics. The book introduces fuzzy arithmetic and fuzzy numbers. It also presents a detailed introduction to fuzzy logic, multivalued logics, fuzzy propositions, quantifiers, linguistic he
