Fuzzy sets and fuzzy logic : theory and applications
Material type: TextPublication details: Upper Saddle River, N.J. : Prentice Hall PTR, c1995.Description: xv, 574 p. : ill. ; 25 cmISBN:- 0131011715
- 511.3 KLI 1995 20
Item type | Current library | Home library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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Open Collection | FIRST CITY UNIVERSITY COLLEGE | FIRST CITY UNIVERSITY COLLEGE | Open Collection | FCUC Library | 511.3 KLI 1995 (Browse shelf(Opens below)) | Available | 00005423 | ||
Open Collection | FIRST CITY UNIVERSITY COLLEGE | FIRST CITY UNIVERSITY COLLEGE | Open Collection | FCUC Library | 511.3 KLI 1995 (Browse shelf(Opens below)) | Available | 00005422 |
Browsing FIRST CITY UNIVERSITY COLLEGE shelves, Shelving location: FCUC Library, Collection: Open Collection Close shelf browser (Hides shelf browser)
511.3 BUR 1996 Logic and its applications / | 511.3 KEI 1996 Mathematical logic and computability / | 511.3 KEI 1996 Mathematical logic and computability / | 511.3 KLI 1995 Fuzzy sets and fuzzy logic : theory and applications | 511.3 KLI 1995 Fuzzy sets and fuzzy logic : theory and applications | 511.3 LEW 1998 Elements of the theory of computation / | 511.3 MAR 2003 Introduction To Languages And The Theory Of Computation. |
Includes bibliographical references (p. 494-547) and indexes.
The primary purpose of this book is to provide the reader with a comprehensive coverage of theoretical foundations of fuzzy set theory and fuzzy logic, as well as a broad overview of the increasingly important applications of these novel areas of mathematics. Although it is written as a text for a course at the graduate or upper division undergraduate level, the book is also suitable for self-study and for industry-oriented courses of continuing education. No previous knowledge of fuzzy set theory and fuzzy logic is required for understanding the material covered in the book. Although knowledge of basic ideas of classical (nonfuzzy) set theory and classical (two-valued) logic is useful, fundamentals of these subject areas are briefly overviewed in the book. In addition, basic ideas of neural networks, genetic algorithms, and rough sets are also explained. This makes the book virtually self-contained. Throughout the book, many examples are used to illustrate concepts, methods, and generic applications as they are introduced. Each chapter is followed by a set of exercises, which are intended to enhance readers' understanding of the material presented in the chapter. Extensive and carefully selected bibliography, together with bibliographical notes at the end of each chapter and a bibliographical subject index, is an invaluable resource for further study of fuzzy theory and applications.