摘要
信息不完备并且目标是模糊的信息系统在很多实际问题中存在.本文把J.W.Guan等人提出的完备信息系统下的可辨识矩阵属性约简算法推广到信息不完备并且目标模糊的领域.通过容差关系的上近似集和下近似集重新设计了属性约简的精度算法,最后用实例验证算法的可行性.
The information systems that the information is incomplete and the objectives are fuzzy exist in many applications. This paper extends attribute reduction computation based on discernible matrix in complete information system to the field of incomplete and fuzzy objective. Based on the upper approximation and the lower approximation of compatibility relation,we have designed a new attribute reduction precision arithmetic. At last by an example, the effectiveness of the arithmetic have been proved.
出处
《商丘师范学院学报》
CAS
2008年第9期10-14,共5页
Journal of Shangqiu Normal University
基金
国家自然科学基金资助项目(No:70471063)
985工程二期资助项目(No:107008200400024)
北京市重点学科资助项目(No:xk100070534)
关键词
粗糙集
属性约简
不完备模糊目标信息系统
可辨识矩阵
incomplete and fuzzy objective information systems
rough set
discernible matrix
attribute reduction