摘要：According to traditional rough set theory approach, attribute reductionmethods are performed on the decision tables with the discretized value domain,which are decision tables obtained by discretized data methods. In recent years,researches have proposed methods based on fuzzy rough set approach to solve theproblem of attribute reduction in decision tables with numerical value domain. Inthis paper, we propose a fuzzy distance between two partitions and an attributereduction method in numerical decision tables based on proposed fuzzy distance.Experiments on data sets show that the classification accuracy of proposed methodis more efficient than the ones based fuzzy entropy.
