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- W2101825869 abstract "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." @default.
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- W2101825869 title "FUZZY EXPERT SYSTEM BASED ON ROUGH SETS AND ITS APPLICATION TO MEDICAL DIAGNOSIS" @default.
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- W2101825869 doi "https://doi.org/10.1080/03081079208945054" @default.
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