计算机工程与应用2016，Vol.52Issue(7)：160-165,6.DOI:10.3778/j.issn.1002-8331.1405-0403
邻域粗糙集在属性约简及权重计算中的应用
Application of attributes reduction and weights calculation through neighborhood rough set
摘要
Abstract
In order to reduce the redundancy of spacecraft attribute value and improve the accuracy of weights calcula-tion, a new method based on rough sets is put forward. By comparing classification accuracy in different lower bounds of importance degree, the new rules for determining the neighborhood radius are given. Based on optimal formula to calcu-late weights in the view of information, a method to calculate weights of attributes based on information entropy is pro-posed, and a method for determining weights based on optimal combination of the algebra view and information view is put forward. The balance problem between algebra view and information view is solved. The method is applied to analyze characteristic values for a satellite attitude control system. A comparison with other methods shows that the method can effec-tively reduce the number of characteristic values and improve the accuracy of feature weights.关键词
邻域粗糙集/属性约减/权重计算/姿控系统Key words
neighborhood rough set/attributes reduction/weights calculation/attitude control system分类
信息技术与安全科学引用本文复制引用
安若铭,索明亮..邻域粗糙集在属性约简及权重计算中的应用[J].计算机工程与应用,2016,52(7):160-165,6.基金项目
微小型航天器技术国防重点学科实验室开放基金；中央高校基本科研业务费专项资金（No.HIT.NSRIF.2014033）。 （）
