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基于粗糙集的最简规则提取算法
引用本文:刘文军.基于粗糙集的最简规则提取算法[J].华东理工大学学报(自然科学版),2007,33(B06):10-12,20.
作者姓名:刘文军
作者单位:长沙理工大学数学与计算科学学院,长沙410076
基金项目:基金项目:国家自然科学基金(70501006);湖南省教育厅项目基金(06C097).
摘    要:提出一种基于粗糙集理论的最简规则提取算法。该算法从已知数据的初始决策系统出发,首先通过建立可辨识矩阵进行属性约简,然后以所有约简建立一系列不同简化层次的子系统,最后对各个子系统获取带有置信度的最简决策规则。一般而言,这种方法能得到尽可能简单的规则。

关 键 词:可辨识矩阵  属性约简  置信度
文章编号:1006-3080(2007)S-0010-03
修稿时间:2007-02-12

Algorithm of Extracting Rules from Decision lhble Based on Rough Sets
LIU Wen-jun.Algorithm of Extracting Rules from Decision lhble Based on Rough Sets[J].Journal of East China University of Science and Technology,2007,33(B06):10-12,20.
Authors:LIU Wen-jun
Institution:School of Mathematics and Computing Science, Changsha University of Science and Technology, Changsha 410076, China
Abstract:An algorithm of extracting rules from decision table is put forward based on rough sets.First, the discernibility matrix is built up according to decision table. Through discernibility matrix, thereducts of decision table are obtained. Then, sub-system is constructed by each reduct. At last, the deci-sion rules are acquired with confidence from each sub-system. Generally speaking, this method can extract simple rules as so as possible.
Keywords:discernibility matrix  attribute reduct  decision rule
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