关键词: 粗糙集，不一致决策表，不确定性，属性约简，边界域

Abstract: Attribute reduction is one of the core research content of Rough set. Most of the existing greedy reduction algorithm is based on positive region to find out an algebraic reduct. In fact, for an inconsistency decision table, algebra reduct changes the original Pawlak topology and expands the uncertainty degree of decision table. Therefore, in this paper, a novel reduction modal based on rough boundary region was introduced, which can keep the original Pawlak topology. Based on this modcl,an efficient algorithm for attribute reduction based on rough boundary region was proposed.Theoretical analysis and experimental results show that the algorithm of this paper is effective and feasible.

Key words: Rough set, Inconsistent decision table, Uncertainty, Attribute reduction, Boundary region