计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (9): 178-180.

• 数据库与信息处理 • 上一篇    下一篇

一种基于区分矩阵的属性约简算法

胡彧 李智玲 李春伟   

  1. 太原理工大学
  • 收稿日期:2006-04-20 修回日期:1900-01-01 出版日期:2007-03-21 发布日期:2007-03-21
  • 通讯作者: 胡彧

A Algorithm For Attribute Reduction Based on Discernibility Matrix

  • Received:2006-04-20 Revised:1900-01-01 Online:2007-03-21 Published:2007-03-21

摘要: 属性约简是粗糙集理论研究的关键问题之一。文章以属性在区分矩阵中出现的频率作为启发,对HORAFA算法做了一些改进。它是以核为基础,加入属性重要性最大的属性,直到不能再加。为了能找到信息系统的最优约简,在此基础上加了一个反向消除过程,直到不能再删为止。最后通过一个实例完整演示了本方法,证实其有效性。

Abstract: Attribute reduction is one of key problem in the theoretical research of Rough set. This paper improves HORAFA algorithm based on Frequency of attribute appears in the discernibility matrix. It takes the core as foundation, and joins the most important attributes in the set of attributes until cannot join. In order to find optimum reduction of information system, this paper adds the converse eliminate action until cannot delete. We give a demonstration at last section of the paper, and it verify improved method validity.