Fuzzy Sets and Fuzzy Logic: Theory and Applications

Klir, George J.; Yuan, Bo

ISBN 10: 0131011715 / ISBN 13: 9780131011717

Edité par Pearson College Div, 1995

A propos de cet article

Hardcover book. The exterior can have various markings and wear. There is a signature or handwriting on the inside front cover. All items ship Monday - Saturday - Fast Shipping in a secure package. Your purchase will help support the programs and collections of the Johnson County (Kansas) Library.

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Détails bibliographiques

• Titre: Fuzzy Sets and Fuzzy Logic: Theory and Applications
• Éditeur: Pearson College Div
• Date de parution: 1995
• Langue: anglais
• ISBN à 10 chiffres: 0131011715
• ISBN à 13 chiffres: 9780131011717
• Reliure: Couverture souple
• État de l'article: Good

A propos de ce titre

Synopsis

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.

Présentation de l'éditeur

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.