Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature; they are facilitators for approximate reasoning in decision making in the absence of complete and precise information. Their role is significant when applied to complex phenomena not easily described by traditional mathematics.
The unique feature of the book is twofold: 1) It is the first introductory course (with examples and exercises) which brings in a systematic way fuzzy sets and fuzzy logic into the educational university and college system. 2) It is designed to serve as a basic text for introducing engineers and scientists from various fields to the theory of fuzzy sets and fuzzy logic, thus enabling them to initiate projects and make applications.
Contents:
- Interval Arithmetic
- Multi-Level Interval Numbers
- Fuzzy Numbers
- Arithmetic with Fuzzy Numbers
- Classical Sets
- Fuzzy Sets
- Fuzzy Relations
- Classical and Many-Valued Logic
- Fuzzy Logic
- Decision Making and Applications
- Fuzzy Logic Control and Applications
- Answers, Hints, Solutions to Selected Exercises
- References
- Index
Readership: University and college students, engineers, computer scientists, economists and scientists.
