一种模糊决策信息系统的属性约简方法  

A Method for Attribute Reduction in Fuzzy Decision Information Systems

作　　者：郑建兴[1] 李德玉[2] 

机构地区：[1]山西大学计算智能与中文信息处理教育部重点实验室,山西太原030006 [2]山西大学计算机与信息技术学院,山西太原030006

出　　处：《中北大学学报（自然科学版）》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)

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.

关 键 词：模糊决策信息系统 邻域 属性约简 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]