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DOI:
Journal of Software:1999.10(11):1206-1211

一种基于Rough Set理论的属性约简及规则提取方法
常犁云,王国胤,吴渝
(重庆邮电学院计算机科学与技术研究所,重庆,400065)
An Approach for Attribute Reduction and Rule Generation Based on Rough Set Theory
CHANG Li-yun,WANG Guo-yin,WU Yu
()
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Received:October 20, 1998    Revised:January 22, 1999
> 中文摘要: 该文针对Rough Set理论中属性约简和值约简这两个重要问题进行了研究,提出了一种借助于可辨识矩阵(discernibility matrix)和数学逻辑运算得到最佳属性约简的新方法.同时,借助该矩阵还可以方便地构造基于Rough Set理论的多变量决策树.另外,对目前广泛采用的一种值约简策略进行了改进,最终使得到的规则进一步简化.
Abstract:In this paper, the authors discuss two important issues in rough set research which are attribute reduction and value reduction. A new attribute reduction approach which can reach the best attribute reduction is presented based on discernibility matrix and logic computation. And a multivariate decision tree can be got with this method. Some improvements for a widely used value reduction method are also achieved in this paper. The complexity of acquired rule knowledge can be reduced effectively in this way.
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基金项目:本文研究得到国家自然科学基金和重庆市应用基础研究基金资助. 本文研究得到国家自然科学基金和重庆市应用基础研究基金资助.
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常犁云,王国胤,吴渝.一种基于Rough Set理论的属性约简及规则提取方法.软件学报,1999,10(11):1206-1211

CHANG Li-yun,WANG Guo-yin,WU Yu.An Approach for Attribute Reduction and Rule Generation Based on Rough Set Theory.Journal of Software,1999,10(11):1206-1211