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基于分明矩阵的属性约简启发式算法
引用本文:侯利娟,史长琼. 基于分明矩阵的属性约简启发式算法[J]. 计算机工程与设计, 2007, 28(18): 4466-4468
作者姓名:侯利娟  史长琼
作者单位:长沙理工大学,计算机与通信工程学院,湖南,长沙,410076;长沙理工大学,计算机与通信工程学院,湖南,长沙,410076
摘    要:提出了基于分明矩阵的启发式知识约简算法.该算法以分明矩阵中属性出现的频率作为启发信息,通过构造新的决策表,每次选取出现个数最多的属性,直到选取的属性能够保持原决策表的分类能力,此时得到的集合即是一个约简.试验结果表明,该算法在大多数情况下都能够找到最小约简或令人满意的次优解.

关 键 词:粗糙集理论  决策表  分明矩阵  属性约简  启发式算法
文章编号:1000-7024(2007)18-4466-03
修稿时间:2006-10-12

Heuristic algorithm to rough set attribute reduction based on discernibility matrix
HOU Li-juan,SHI Chang-qiong. Heuristic algorithm to rough set attribute reduction based on discernibility matrix[J]. Computer Engineering and Design, 2007, 28(18): 4466-4468
Authors:HOU Li-juan  SHI Chang-qiong
Affiliation:Institute of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China
Abstract:An algorithm to heuristic knowledge reduction based on discernibility matrix is proposed. According to the frequency of at- tribute in discernibility matrix, a new information system is designed and the maximum attribute every time is selected, until the selected attribute can discern information system, then all selected attribute is a reduction. The practical results show that in the most cases the minimum or a feasible solution reduction is obtained using the proposed method.
Keywords:rough set theory  decision table  discernibility matrix  attribute reduction  heuristic Algorithm
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