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Mining Method of Attribute Reduction Based on Rough Fuzzy Set Theory

In order to solve the reasoning and decision problems when the given information is not sufficient, a mining method for attribute reduction of classification rules based on Rough Fuzzy Set theory is proposed, and its flow chart is also presented. The method can mine hidden association rules in samples and make decisions by using the reduction algorithm of characteristic attribute based on rough set and induction algorithm of decision rules based on fuzzy set. Finally, information system of satellite navigation system combat effectiveness evaluation is applied with this approach, and the results are satisfactory, which have proved that the approach is practicable and effective.