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.
This is a case where you should not judge a book by its cover.
Not only does this book have well-explained theory, it also has lots of examples and includes many fuzzy "versions" of common mathematical concepts, not just "sets" as we tend to think of them.
Importantly, there is a lot devoted to making sure the reader understands what is going on... which is important given this kind of topic. The preface contains a lot of important philosophical preamble.
One of the best books on fuzzy theory I have ever picked up.