计算机工程与应用2017，Vol.53Issue(11)：7-12,6.DOI:10.3778/j.issn.1002-8331.1612-0366
多半径邻域粗糙集改进约简算法
Improvement to attribute reduction algorithm in neighborhood rough set
摘要
Abstract
Attribute reduction is one of important aspects in rough set theory. Scholars have proposed series of attribute re-duction methods in neighborhood rough set, including the widely applied heuristic algorithm. To deal with the shortage of existing reduction algorithm containing redundant attributes, an attribute reduction method based on weights approach is proposed on the basis of neighborhood rough set with multiple radius. Thresholds are set up to eliminate redundant attri-butes in reduction results according to weights of every condition attribute. Several databases are applied to analyze algo-rithm performance. The experimental results show that this method can retain more knowledge and information of deci-sion table and has better performance.关键词
粗糙集/邻域关系/属性约简/决策表Key words
rough set/neighborhood relation/attribute reduction/decision table分类
信息技术与安全科学引用本文复制引用
李兵洋,肖健梅,王锡淮..多半径邻域粗糙集改进约简算法[J].计算机工程与应用,2017,53(11):7-12,6.基金项目
国家自然科学基金(No.61573240). （No.61573240）
