论文信息 - Fuzzy expert system based on rough sets and its application to medical diagnosis

Fuzzy expert system based on rough sets and its application to medical diagnosis

Abstract We propose a new method of reducing information systems by considering the classification given by experts, and a method of constructing a fuzzy expert system is described by introducing fuzzy intervals represented as fuzzification of attribute values. As an example, a fuzzy expert system for medical diagnosis is built using fuzzy inference rules. There are 367 fuzzy if-then rules constructed by the lower approximations which show consistency of the given data and the classification given by experts.

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