A Technique for Handling Fuzzy Decision-Making Problems Concerning Two Kinds of Uncertainty

Abstract

A new technique for handling fuzzy decision-making problems concerning two kinds of uncertainty is introduced, which supplies a more efficient tool for the building of some expen systems. It uses a similarity measure of fuzzy sets and threshold A to determine whether a rule should be fired, and a modification function MF is used to modify the deduced consequent. The strength of cc~nfir-mation CF of every production rule, which is given by a system or experts, is different and is used to modify the consequent once more. Finally, an efficient algorithm is proposed and some numerical examples are presented.