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基于粗集的几种属性约简算法分析
引用本文:陈淑珍. 基于粗集的几种属性约简算法分析[J]. 武汉工业学院学报, 2005, 24(3): 118-120,124
作者姓名:陈淑珍
作者单位:三明学院,福建,三明,365004
摘    要:研究了粗集理论中基于差别矩阵、属性依赖度、条件信息熵、遗传算法的几种属性约简算法,分析了各种算法和原理,指出了优缺点,对以后的研究方向提出了建议。

关 键 词:粗集 属性约简 算法分析
文章编号:1009-4881(2005)03-0118-03
收稿时间:2005-05-04
修稿时间:2005-05-04

ANALYSIS OF ATTRIBUTE REDUCED ALGORITHM BASED ON ROUGH SET ThEORY
CHEN Shu-zhen. ANALYSIS OF ATTRIBUTE REDUCED ALGORITHM BASED ON ROUGH SET ThEORY[J]. Journal of Wuhan Polytechnic University, 2005, 24(3): 118-120,124
Authors:CHEN Shu-zhen
Abstract:In the field of attribute reduction, some kinds of typical algorithms in Rough set theory are studied. They are based on discernibility matrix, attribute independence degree, conditional information entropy and genetic algorethm. The characteristics of these algorithms are discussed, the problems to be solved and the future directions to be furthered are suggested as well.
Keywords:rough set    attribute reduction    algorithms analysis
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