摘要
基于邻域粒化思想提出了邻域关系下模糊决策信息系统的粗糙集模型.定义了上、下近似算子,并讨论了它们的性质.通过构造辨识矩阵和辨识函数,给出了一种连续值域模糊决策信息系统上、下协调属性约简的方法,并用实例对该方法进行了说明.该方法为条件属性连续取值的模糊决策信息系统的属性约简、特征选择等提供了一种新途径.
Based on the idea of neighborhood granulation,the rough set model for fuzzy decision information system was proposed.The upper and lower approximation operators were defined and their properties were discussed.By constructing the discernibility matrix and discernibility function,a new method of upper and lower consistent attribute reductions was given for a fuzzy decision information system with continuous values of condition attributes.The method was verified by an illustrative example.It provides a new approach to attribute reduction and feature selection in fuzzy decision information systems.
出处
《中北大学学报（自然科学版）》
CAS
北大核心
2011年第1期115-118,共4页
Journal of North University of China(Natural Science Edition)
基金
国家自然科学基金资助项目(60970014
60875040)
高等学校博士学科点专项科研基金资助项目(200801080006)
山西省自然科学基金资助项目(2010011021)
太原市科技局明星专项资助项目(09121001)
关键词
模糊决策信息系统
邻域
属性约简
fuzzy decision information system
neighborhood
attribute reduction
