A Kind of Adaptive Fuzzy System
Min Yao · Control theory & applications · 1998
By means of the method of combining fuzzy computing with neurocomputing,this paper proposes a kind of fuzzy system model: AFS-- Adaptive Fuzzy System. AFS adopts forward neural networks to realize fuzzy reasoning rules,presents fuzzy consistent matrix method to accomplish dynamic adaptation,and raises max--relational membership principle to carry out fuzzy decision making. The performance of AFS is compared with those of six currently representative reasoning methods by application examples.