关键词: 粗糙集理论, 不一致决策表, 知识约简, 包含度

Abstract: In this paper，the deficiencies of recent knowledge reduction are analyzed deeply.On the basis of the inclusion degree with separating consistent objects form inconsistent objects，a new significance of attribute is defined in inconsistent decision table.To overcome the disadvantage of ordered reduction which is based on the discernibility matrix as the time complexity is increscent exponential along with the size of decision tables，the judgment theorem with respect to distribution reduction is obtained，and a heuristic algorithm is proposed.Theoretical analyses show that the proposed heuristic information is better and more efficient than the others，and experimental results prove the validity of the heuristic algorithm in searching the minimal or optimal reduction.

Key words: rough set, inconsistent decision table, reduction of knowledge, inclusion degree