Method for Feature Selection Based on Granular Computing
基于粒度计算的特征选择方法

The reduction of consistent decision table is redefined from the point of view of partition module of granular computing, and a novel algorithm to find an optimal reduction with low time complexity is proposed. Reduction is constructed by adding attributes using information entropy as the heuristic information, superfluous attributes are deleted from the reduction to get a minimal reduction. The experiment results on five public gene expression profiles demonstrate the usefulness of this new method for feat...