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.

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Salient Features
Details the advances that have taken place in fuzzy set theory and fuzzy logic in recent years.
Requires only a basic knowledge of classical (nonfuzzy) set theory, classical (two-valued) logic, and probability theory.
Includes all bibliographical, historical, and other side remarks in the notes that follow each individual chapter.
Includes a set of exercises after each chapter.
Offers an overview of neural networks, genetic algorithms, and rough sets in Appendices A-C.
Includes a glossary of key concepts and a glossary of symbols.

Table of Content
I. THEORY
1. From Classical (Crisp) Sets to Fuzzy Sets: A Grand Paradigm Shift
2. Fuzzy Sets versus Crisp Sets
3. Operations on Fuzzy Sets
4. Fuzzy Arithmetic
5. Fuzzy Relations
6. Fuzzy Relation Equations
7. Possibility Theory
8. Fuzzy Logic
9. Uncertainty-Based Information
II. APPLICATIONS
10. Constructing Fuzzy Sets and Operations on Fuzzy Sets
11. Approximate Reasoning
12. Fuzzy Systems
13. Pattern Recognition
14. Fuzzy Databases and Information Retrieval Systems
15. Fuzzy Decision Making
16. Engineering Applications
17. Miscellaneous Applications