基于变精度粗糙集的信息系统数据挖掘应用  

Application of Data Mining in Information System Based on Variable Precision Rough Set

作　　者：倪啸[1] 蔡瑞英[1] 

机构地区：[1]南京工业大学信息科学与工程学院,江苏南京210009

出　　处：《微电子学与计算机》2009年第4期89-91,共3页Microelectronics & Computer

基　　金：江苏省高校自然科学基金项目(05KJB520048)

摘　　要：变精度粗糙集模型(VPRS)是粗糙集模型的扩充,它引入了精度参数,对数据的不一致性有较好的容忍度.文中利用VPRS模型,对不一致的信息系统进行数据挖掘,运用这一方法对系统决策表进行近似约简,去除其中冗余的属性,得出了近似约简的结果以及决策规则.实例应用表明,该方法是确实可行并有效的.The variable precision rough set （VPRS） model is an extension of original rough set model. For inconsistent information system, the VPRS model allows a flexible approximation boundary region by a precision variable and has a better tolerance for inconsistent data. This paper is focused on data mining in inconsistent information system using the VPRS model. A method based on VPRS model is proposed to apply to approximate reduction for decision table. The results of reduetion and rules are acquired through approximate reduction. An example is given to show that the method of data mining for inconsistent information system is effective.

关 键 词：变精度粗糙集 数据挖掘 不一致信息 近似约简 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]