Upper 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.

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Detalles bibliogr�ficos

T�tulo

Fuzzy Sets and Fuzzy Logic, Theory and Applications

Editor

Prentice-Hall PTR, Upper Saddle River, New Jersey

Fecha de publicaci�n

1995

Idioma

Ingl�s

ISBN 10

0131011715

ISBN 13

9780131011717

Encuadernaci�n

Hardcover

Edici�n

First Printing of the First Edition.

Estado

Very Fine condition

Estado de la sobrecubierta

No jacket, probably as issued

Cat�logos de vendedores

Science / Technology / Computers

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Sinopsis

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.

Acerca del autor

George J. Klir is a Distinguished Professor of Systems Science in the Watson School of Engineering and Applied Science of the Binghamton University (SUNY).

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