计算机应用研究2017，Vol.34Issue(1)：107-109,127,4.DOI:10.3969/j.issn.1001-3695.2017.01.022
基于强化正域的属性约简方法
Attribute reduction method based on enhanced positive region
摘要
Abstract
Through a variety of reduction methods were compared,this paper proposed a more precise definition of the positive region based on the traditional attribute dependence in order to get better results.By dividing the boundary region accurately, the dependence of conditional attributes on decision attributes were enhanced,and obtained the results by using the top-down heuristic search algorithm.It used UCI standard data sets to test reduction method based on enhanced positive region REPR. And REPR can reduce the size of the decision tree and improve the classification accuracy,which shows that it can be more ef-ficient for attribute reduction on decision tables than the other classical methods.关键词
粗糙集/属性约简/正区域/属性依赖度Key words
rough set/attribute reduction/positive region/attribute dependence分类
信息技术与安全科学引用本文复制引用
史博文,李国和,吴卫江,洪云峰,周晓明..基于强化正域的属性约简方法[J].计算机应用研究,2017,34(1):107-109,127,4.基金项目
国家高新技术研究发展计划资助项目（2009AA062802）；国家自然科学基金资助项目（60473125）；中国石油（CNPC）石油科技中青年创新基金资助项目（05E7013）；国家重大专项子课题 （）
