Two attribute reduction algorithms based on fuzzy-rough set
基于模糊粗糙集的两种属性约简算法

Fuzzy-rough set treats membership values in fuzzy sets as attribute values in rough set theory , which describes the possible degrees and the certain degrees of fuzzy events. Two attribute reduction algorithms based on fuzzy-rough set, FRSAR and CCD-FRSAR were analyzed and compared in computational complexity and convergency. The conclusion is validated by concrete experiments: as a whole, CCD-FRSAR is better than FRSAR.