连续型目标信息系统的属性约简  

Attribute Reduction in Numerical Decision Systems

作　　者：王秀秀[1] 王阿岩 王长忠[1] 

机构地区：[1]渤海大学数理学院,辽宁锦州121000

出　　处：《吉林大学学报（信息科学版）》2014年第5期534-538,共5页Journal of Jilin University（Information Science Edition）

基　　金：国家自然科学基金资助项目(61070242);辽宁省优秀人才支持计划基金资助项目(LR2012039)

摘　　要：针对连续型数据的属性约简问题,提出了一种新的属性约简方法——基于分配可辨识矩阵的属性约简方法。给出了基于连续型数据的分配协调集的概念,研究了基于连续型数据的分配协调集的基本性质,定义了基于分配协调集的辨识矩阵。在此基础上提出了基于辨识矩阵的连续型数据的属性约简方法,并给出了计算辨识矩阵的算法。实例分析表明,该方法能有效地对连续型数据进行属性约简。A method which aims at attribute reduction based on assignment set in numerical data sets is proposed.Firstly,the concept and some important properties of assignment set based on numerical data sets was presented.Then,authors defined dicernibility matrix based on assignment set,and proposed a new method for attribute reduction based on discernibility matrix in numerical data sets.Finally,an algorithm for computing discernibility matrix was presented.Example analysis show that this method can effectively handle attribute reduction in numerical decision systems.

关 键 词：粗糙集 辨识矩阵 属性约简 连续值域信息系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]