Since its inception 20 years ago the theory of fuzzy sets has advanced
in a variety of ways and in many disciplines. Applications of this
theory can be found in artificial intelligence, computer science,
control engineering, decision theory, expert systems, logic, management
science, operations research, pattern recognition, robotics and
others.
Theoretical advances, too, have been made in many directions, and a gap
has arisen between advanced theoretical topics and applications, which
often use the theory at a rather elementary level. The primary goal of
this book is to close this gap - to provide a textbook for courses in
fuzzy set theory and a book that can be used as an introduction.
This revised book updates the research agenda, with the chapters of
possibility theory, fuzzy logic and approximate reasoning, expert
systems and control, decision making and fuzzy set models in operations
research being restructured and rewritten. Exercises have been added to
almost all chapters and a teacher's manual is available upon request.