摘要
传统的粗糙集约简理论对模糊决策信息系统不能直接属性约简。主要基于模糊贴近度讨论模糊决策信息系统的属性约简问题,首先引入模糊贴近度的概念,并根据距离贴近度分别定义分布协调集与分布约简集,然后利用属性可辨识集与属性可辨识矩阵探讨模糊决策信息系统的属性约简,得到由此提出一种基于贴近度的属性约简方法,并用实例对该方法进行说明。
The reduction theory of traditional information system can＇t be used to fuzzy decision information system directly. This paper mainly discusses the attribute reduction of fuzzy decision information system based on fuzzy nearness degree. Firstly,the concept of closeness degree is introduced,and also the distributive coordination sets and the distributive reduction sets are defined according to distance closeness degree. Then,with discernibility matrix,the attribute reduction theory of fuzzy decision information system is explored,and a method based on closeness degree is proposed consequently. Finally,an examples is given to illustrate this method.
出处
《成都信息工程学院学报》
2015年第3期275-280,共6页
Journal of Chengdu University of Information Technology
基金
国家自然科学基金资助项目(11226262)
关键词
应用数学
粗糙集
模糊决策
分布约简
辨识矩阵
模糊贴近度
applied mathematics
rough set
fuzzy decision
distribution reduction
discernibility matrix
fuzzy nearness degree
