Fuzzy Set Theory and Its Applications/H. J. Zimmermann|
Fuzzy Set Theory and Its Applications
by H. J. Zimmermann
Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, robotics, and others. Theoretical advances have been made in many directions.
The primary goal of Fuzzy Set Theory - and its Applications, Fourth Edition is to provide a textbook for courses in fuzzy set theory, and a book that can be used as an introduction. To balance the character of a textbook with the dynamic nature of this research, many useful references have been added to develop a deeper understanding for the interested reader.
Fuzzy Set Theory - and its Applications, Fourth Edition updates the research agenda with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research.
1 Introduction to Fuzzy Sets. Part I: Fuzzy Mathematics
2 Fuzzy Sets - Basic Definitions
4 Fuzzy Measures and Measures of Fuzziness
5 The Extension Principle and Applications
6 Fuzzy Relations and Fuzzy Graphs
7 Fuzzy Analysis
8 Uncertainty Modeling. Part II: Applications of Fuzzy Set Theory
9 Fuzzy Logic and Approximate Reasoning
10 Fuzzy Sets and Expert Systems
11 Fuzzy Control
12 Fuzzy Data Bases and Queries
13 Fuzzy Data Analysis
14 Decision Making in Fuzzy Environments
15 Applications of Fuzzy Sets in Engineering and Management
16 Empirical Research in Fuzzy Set Theory
17 Future Perspectives