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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.

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