This book presents the genuine essence of engineering of fuzzy sets. It includes sound theory, a general methodological framework, efficient algorithms, and detailed validation schemes. Fuzzy Sets Engineering offers discussions in a top-down fashion, with general methodology followed by specific domains which rely strongly on the methodological foundations. Based on this methodological framework, the book then provides a careful, in-depth exposure to very diversified areas. Numerous application-driven examples are included.
It discusses general modelling methodology of fuzzy sets then describes useful ideas of neurocomputations. Self-contained chapters allow readers to customize their reading by selecting any of these essential design topics: fuzzy controller, fuzzy control, or information processing with recurrent systems such as fuzzy flip-flops or fuzzy Petri nets. Topics can be investigated in a variety of orders. This versatile format makes this an ideal textbook or reference source for both novices and experienced individuals.
Table of Contents
Fuzzy set-based modelling and simulation environment. Development of input interfaces. Fuzzy neural neworks: models and learning. Fuzzy neurocomputations. Development of output interfaces. Fuzzy controller. Software development tolls in designing fuzzy systems. Fuzzy control. Fuzzy flip-flops in information processing. Fuzzy Petri nets. Appendix A. Appendix B. Appendix C. Index.
"Must reading for anyone interested in acquiring a thorough understanding of fuzzy logic, its role in soft computing, and its application to control and related fields."
-Lotfi A. Zadeh
From the Foreword