New heuristic attribute reduction algorithm based on rough set

This paper summarized advantages and disadvantages of recent attribute reduction algorithms, and proposed a new attribute reduction method which is taken attribute correlation as heuristic information, this method can not only remove irrelevant features, but also delete redundant features from the candidate attribute set. Theoretical analysis and experiment results demonstrate that on the premise of unchanged classification precision, the algorithm can obtain the best attribute reduce set and has good feasibility.