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.

Bestandsnummer des Verk�ufers 012791

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Bibliografische Details

Titel

Fuzzy Sets and Fuzzy Logic, Theory and Applications

Verlag

Prentice-Hall PTR, Upper Saddle River, New Jersey

Ver�ffentlichungsdatum

1995

Sprache

Englisch

ISBN-10

0131011715

ISBN-13

9780131011717

Bindung

Hardcover

Ausgabe

First Printing of the First Edition.

Zustand

Very Fine condition

Zustand des Schutzumschlags

No jacket, probably as issued

Verk�uferkataloge

Science / Technology / Computers

�ber diesen Titel

Inhaltsangabe

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.

�ber die Autorin bzw. den 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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