Reduction Based On The Properties Of Rough Set Theory And Its Application Research

In this article,at first,we introduce Rough set theory ,attribute reduction based on Rough set and the classification of information system,reduction algorithms of attribute. Considering, how excavating ,exactly and quickly ,potential and useful measurement in a large number ,mixed and disorderly and disturbed greatly data,we concern multivalued RS theory with discernable matrix ,and put forwoard attribute reduction algorithm of multivalued RS theory based on discernable and similar matrix. Then we unify the description of the membership function of RS and dependability algorithm,we debate a reduction algorithm based on dependability, and then use it into unconsistent decision table. Furthermore,we unify Rough set and Dependence Space,and then classify attribute reduction of unconsistent decision tables into Dependence space.At last,we found a new standard of attribute reduction in Dependence Space and corresponding reduction algorithm based on reduction, elementary reduction and superreduction in Dependence space.