一种粗糙集值约简算法及其应用  

A Value Reduction Algorithm Based on Rough Set Theory and Its Applications

作　　者：白秀玲[1] 王平[1] 普杰信[1] 

机构地区：[1]洛阳市河南科技大学电子信息工程学院,471003

出　　处：《微计算机信息》2006年第11X期207-209,共3页Control & Automation

基　　金：河南省杰出青年基金(0412000400)

摘　　要：对已有的粗糙集约简算法进行了研究,分析了这些算法中存在的问题。提出一种粗糙集值约简算法。该算法重点不在于求得最佳属性约简,而在于求得满足用户需求的最佳值约简。通过实例介绍了该算法的应用。算法能实现粗糙集的值约简,并能计算出各规则的支持度。Many reduction algorithms in rough set were studied.Problems in these algorithms were analyzed.An reduction algorithm was presented.The emphasis of the algorithm was not the acquirement of the best attribute reduction,but the best value reduction which applied to user＇s need.Appliations of the algorithm were introduced by examples. Value reduction of rough set is gained. Support of each rule can be calculated.

关 键 词：数据挖掘 粗糙集 关联规则 值约简 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]