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.
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.
