摘要
本文首先定义了不完备模糊目标信息系统及其非对称相似关系,然后借鉴经典的可辨识矩阵精度约简算法,提出一种新的基于非对称相似关系的可辨识矩阵(α,β)精度约简算法,对不完备模糊目标信息系统进行属性约简。最后给出一个实例,检验算法的可行性。
In this paper,we first propose a concept of an incomplete information system with fuzzy objectives.Then we extend a classical attribute reduction algorithm based on discernible matrix in complete information system to the field of incomplete with fuzzy objectives.A new attribute（α,β）reduction algorithm based on non-symmetric similarity relation and discernible matrix is designed in this paper.And finally,an example has been given to illustrate the feasibility of the new algorithm.
出处
《运筹与管理》
CSCD
北大核心
2011年第1期1-7,共7页
Operations Research and Management Science
基金
国家自然科学基金资助项目(70771010)
关键词
粗糙集
属性约简
非对称相似关系
可辨识矩阵
rough sets
attribute reduction
non-symmetric similarity relation
discernible matrix
