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基于模糊聚类的粗糙集决策表简化方法研究
引用本文:张曙红,孙建勋,张金隆.基于模糊聚类的粗糙集决策表简化方法研究[J].计算机工程与应用,2004,40(15):175-177.
作者姓名:张曙红  孙建勋  张金隆
作者单位:华中科技大学管理学院,武汉,430074
基金项目:国家自然科学基金资助项目(编号:70271031)
摘    要:决策表是一种特殊而重要的知识系统,在决策支持和数据挖掘等领域有着重要的应用。该文给出了一种基于模糊聚类的粗糙集决策表分析方法。该方法结合模糊集和粗糙集理论,由模糊聚类得出模糊决策表,并可以方便地构造决策表和对决策规则表进行简化。

关 键 词:知识系统  模糊聚类  粗糙集理论  决策表
文章编号:1002-8331-(2004)15-0175-03

A Study on the Reducing Method of Rough Set Decision Table Based on Fuzzy Cluster
Zhang Shuhong Sun Jianxun Zhang Jinlong.A Study on the Reducing Method of Rough Set Decision Table Based on Fuzzy Cluster[J].Computer Engineering and Applications,2004,40(15):175-177.
Authors:Zhang Shuhong Sun Jianxun Zhang Jinlong
Abstract:Decision table is a kind of special and important knowledge system which has been applied in the decision support and data mining fields widely.In this paper,a rough set decision table analysis method based on fuzzy cluster is presented.This method can easily build fuzzy decision tables and reduce decision tables based on fuzzy set theory and rough set theory.
Keywords:knowledge system  fuzzy cluster  rough set theory  decision table
本文献已被 CNKI 维普 万方数据 等数据库收录!
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