计算机应用

• 数据库与先进计算 • 上一篇    下一篇

一种基于rough集的属性约简的改进算法

李永华 蒋芸 王小菊   

  1. 西北师范大学 西北工业大学计算机学院,西北师范大学数学与信息学院 甘肃兰州西北师范大学数信学院
  • 收稿日期:2008-03-04 修回日期:2008-04-25 发布日期:2008-08-01 出版日期:2008-08-01
  • 通讯作者: 李永华

An improved algorithm for attribute reduction based on rough sets

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  • Received:2008-03-04 Revised:2008-04-25 Online:2008-08-01 Published:2008-08-01
  • Contact: LI Yong-Hua

摘要: 目前粗糙集属性约简基本上是通过差别矩阵先求出属性核,然后在属性核的基础上再求出属性约简。这种计算方法具有较高的复杂度。因此提出并分析了属性的加权平均重要性的属性约简算法,该算法可以确保得到决策表的一个约简,且不需要计算核,减少计算量,提高计算速度。以实例验证了算法的正确性。

关键词: 粗糙集, 加权平均重要性, 属性约简算法

Abstract: At present, basically all attribute reduction based on Rough Sets is to extract the attribute core through the discernbility matrix, then calculate attribute reduction, but the method is still complex. This paper proposed and analyzed an attribute reduction algorithm of weighted mean attribute significance. The algorithm not only can get a reduction, but also does not need core calculating. It can reduce the computing effort and improve the computing efficiency. The algorithm is verified with the instance.

Key words: rough set, weighted mean attribute significance, attribute reduction algorithm