Applied fuzzy systems
The authors provide a systematic exposition of fuzzy systems theory and its major applications in industry and business. The book focuses in-depth on a number of practical applications in areas ranging from industrial process control to medical diagnosis, and includes specific case studies that are appearing in English for the first time.
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Introduction to Fuzzy Systems l
Kiyoji Asai 5
Fuzzy Set Theory
5 other sections not shown
actual adaptive control addition algorithms ambiguous antecedent artificial intelligence automatic train operation blast furnace braking calculations carried certainty changes characteristics circuit clustering constructed control command control rules crisp sets damage data base decision-making defined degree determined elements equation example expert systems expressed fuzzy adaptive control fuzzy computers fuzzy inference fuzzy logic fuzzy model fuzzy number fuzzy reasoning fuzzy relations fuzzy sets fuzzy systems fuzzy theory hot metal temperature human input Japanese judgments linear programming linguistic mA(x matching means membership functions membership values method multiattribute multiobjective programming norm notch objective functions obtained optimal parameters pattern PID control possible predictive fuzzy control primitive events process computer programming problem Prolog pump well level rainwater inflow rainwater pumps recognition rolling load schedule schema shown in Fig speed structure symptoms Table thermal condition tion truth value two-valued type([A vector water level words Zadeh