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In this paper we describe a neuro-fuzzy system with adaptive capability to extract fuzzy If-Then rules from input and output sample data through learning. The proposed system, called radial basis function (RBF) based adaptive fuzzy system (AFS), employs the Gaussian functions to represent the membership functions of the premise part of fuzzy rules. Three architectural deviations of the RBF based...
Defuzzification is a problem of optimized selection of an element from a fuzzy set. It is in fact an optimization problem, optimization with respect to the whole system under consideration. We believe that neighbors can contribute and make a better selection in the process of defuzzification. We have proposed here a method that uses a collective decision making of cooperative neighbors. Natural...
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