Fuzzy Sets and Fuzzy Logic, Theory and Applications
Klir, George J.; & Bo Yuan
Sold by About Books, Henderson, NV, U.S.A.
AbeBooks Seller since 5 February 2021
Used - Hardcover
Condition: Very Fine condition
Quantity: 1 available
Add to basketSold by About Books, Henderson, NV, U.S.A.
AbeBooks Seller since 5 February 2021
Condition: Very Fine condition
Quantity: 1 available
Add to basketUpper Saddle River, New Jersey: Prentice-Hall PTR, 1995. Very Fine condition. A like-new copy of the uncommon hardcover first printing. Appears unread. NOT a library discard. Previous owner's name. Bright, clean, square, tight, and unmarked. Sharp corners. Not a remainder. No underlining. No highlighting. No margin notes. Illustrated throughout with charts, diagrams, and mathematical equations. Glossary. Bibliography (identifies 1,731 publications). Bibliographical Index. Name Index. Subject Index. Bound in the original dark red pictorial boards, lettered in white and black. First Printing of the First Edition. Hardcover. Very Fine condition/No jacket, probably as issued. 8vo. xv, 574pp. Great Packaging, Fast Shipping.
Seller Inventory # 012791
Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from 1988 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 well. KEY TOPICS: Theoretical aspects of fuzzy set theory and fuzzy logic are covered in Part I of the text, including: basic types of fuzzy sets; connections between fuzzy sets and crisp sets; the various aggregation operations of fuzzy sets; fuzzy numbers and arithmetic operations on fuzzy numbers; fuzzy relations and the study of fuzzy relation equations. Part II is devoted to applications of fuzzy set theory and fuzzy logic, including: various methods for constructing membership functions of fuzzy sets; the use of fuzzy logic for approximate reasoning in expert systems; fuzzy systems and controllers; fuzzy databases; fuzzy decision making; and engineering applications. MARKET: For everyone interested in an introduction to fuzzy set theory and fuzzy logic.
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