A Approximate Attribute Reduction of Rough Set and Its Algorithm

摘要：

In view of the deficiencies of attribute reduction in classic rough set, On condition that knowledge classification ability remains basically unchanged, this paper renders a new definition of the approximate attribute reduction of rough set and discuss its nature and algorithms. Theory proves that approximate attribute reduction is an extension of the traditional attribute reduction. Finally, a concrete example demonstrates the feasibility and effectiveness of approximate attribute reduction dealing with ambiguity and uncertainty of knowledge in information systems.

关键词： rough set approximate attribute reduction reduction algorithm

作者: Shen Jin-biao Lv Yue-jin Tao Duo-xiu

作者单位: School of Mathematics and Information Science Guangxi University Nanning, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1543-1546

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）