会议专题

The Elimination of Inference Channel Based On Rough Set Theory

This paper addresses inference channel problem based on rough set theory. The data database is processed by the method of attribute and attribute value reduction in rough set theory. Besides, based on attribute value reduction, a new algorithm is proposed for finding inference rules in database. Further, the security level of condition attributes which has high attribute frequency is increased to the security level of decision attributes in inference rule and the inference channel could be eliminated. Finally the result of our experiment shows that the algorithm of eliminating inference channel is efficient and feasible.

rough set theory inference control attribute value reduction inference rule inference channel

ZHANG Dongwen JIANG Yan QIU Jiqing WANG Peng

School of Sciences, Hebei University of Science & Technology ,Shijiazhuang, 050018, China School of Information Science & Engineering, Hebei University of Science & Technology ,Shijiazhuang,

国际会议

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

太原

英文

314-317

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)