Fuzzy Sets and Fuzzy Logic: Theory and Aplications

Front Cover
Prentice Hall, 1995 - Mathematics - 574 pages
1 Review
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.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

THEORY
1
FUZZY SETS VERSUS CRISP SETS
35
OPERATIONS ON FUZZY SETS
50
Copyright

20 other sections not shown

Common terms and phrases

References to this book

All Book Search results »

About the author (1995)

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

Bibliographic information