Because traditional index screening methods are subjective

as well as a large amount of data

a new index screening method of the combination grey cluster theory and rough set attribute reduction index was proposed.Using grey clustering instead of classical equivalence relation in rough set classification method solved the question that the classic attribute reduction of rough set only applies to the problem of discrete data.And the F statistic was adopted to determine the critical value of Grey Clustering.This method is was suit for evaluation index screening of uncertain

incomplete data.Finally

through the logistics supplier selection as an example

the method was verified application characteristics and advantages.