Accordeing To The Rough Set Theories Of Value Reduction Reasearch

Rough set theory , a new mathematical tool dealing with vagueness and uncertainty , was introduced by Z Pawlak in 1982. This theory sets the definition to the knowledge from the new angle of view, it lead demarcation concerning the theory area that knowledge saw make, and the algebra learned etc. the price relation to discuss the knowledge.It has been widely used in the area of Artifical Intelligence (AI),Data Mining (DM),pattern recognition and fault diagnos.itics,etc. The theory has some special standpoints, so this is suit of the data analysis.This paper describes the basic algorithms for Rough set theory includeing equivalent relation, upper/lower approximation attribute reduction and value reduction .And applications of Rough set theory in areas.Made use of the Greedy Algorithm's odd/even number , a method further solves to value reduction .