Fuaay Modeling in Some Reduction Methods of Inference Rules

摘要

This paper is concerned with fuzzy modeling in some reductionmethods of inference rules with gradient descent. Reduction methodsare presented, which have a reduction mech- anism of the rule unitthat is applicable in three parameters-the central value and thewidth of the membership function in the an- tecedent part, and thereal number in the consequent part-which constitute the standardfuzzy system. In the present techniques, the necessary number ofrules is set beforehand and the rules are sequentially deleted to theprespecified number.