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一种基于粗糙集的集成算法及应用
引用本文:王小凤,周明全,郑建国. 一种基于粗糙集的集成算法及应用[J]. 计算机应用与软件, 2006, 23(2): 12-13,116
作者姓名:王小凤  周明全  郑建国
作者单位:西北大学计算机科学系,陕西,西安,710069;西北大学计算机科学系,陕西,西安,710069;西北大学计算机科学系,陕西,西安,710069
基金项目:中国科学院资助项目;中国博士后科学基金
摘    要:粗糙集理论的主要思想是在保持信息系统分类能力不变的前提下,通过知识约简,导出问题的决策和分类规则:本文提出一种基于信息量的属性约简和规则提取的集成算法,并结合汽车里程试验数据进行验证,通过仿真实验,表明了该算法的有效性和可行性。

关 键 词:粗糙集  信息量  属性约简  值约简
收稿时间:2004-04-27
修稿时间:2004-04-27

AN INTEGRATED ALGORITHM BASED ON ROUGH SET AND IT'S APPLICATION
Wang Xiaofeng,Zhou Mingquan,Zheng Jianguo. AN INTEGRATED ALGORITHM BASED ON ROUGH SET AND IT'S APPLICATION[J]. Computer Applications and Software, 2006, 23(2): 12-13,116
Authors:Wang Xiaofeng  Zhou Mingquan  Zheng Jianguo
Abstract:The main target of Rough Set theory is reducing the attribute and getting the effective rules based on keeping the classifiable(ability) of information system.According to the Rough Set theory,an integrated algorithm based on information quantity and value reduction is proposed,and then it is used to analysis car's data,obtaining the core and effective rules.For the same reason this algorithm can also be(applied) to others area.
Keywords:Rough set theory Information quantity Reduction of attribute Value reduction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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