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基于模糊工具箱和ROSETTA的粗糙集数据挖掘
引用本文:徐袭,刘玉波,范学鑫.基于模糊工具箱和ROSETTA的粗糙集数据挖掘[J].微计算机信息,2007,23(18):174-175,178.
作者姓名:徐袭  刘玉波  范学鑫
作者单位:1. 430033,湖北武汉,海军工程大学,电气与信息工程学院
2. 116000,辽宁大连,91278部队50分队
摘    要:针对大量连续属性值的数据挖掘,提出了一种基于模糊工具箱和ROSETTA软件的粗糙集数据挖掘方法.在粗糙集理论的基础上,应用模糊工具箱中的模糊聚类方法离散分类连续属性值,并将其转化为粗糙集易于处理的知识表格.应用粗糙集数据挖掘软件ROSETTA对这些知识表格进行知识约简处理.通过约简知识属性和属性值,得到连续属性值的核心知识规则,并以实测数据为例,说明了该方法的实现过程和有效性.

关 键 词:模糊工具箱  粗糙集  数据挖掘
文章编号:1008-0570(2007)06-3-0174-02
修稿时间:2007-05-032007-06-05

Data Mining with Rough Set Based on Fuzzy Toolbox and ROSETTA
XUXI,LIU YUBO,FAN XUEXIN.Data Mining with Rough Set Based on Fuzzy Toolbox and ROSETTA[J].Control & Automation,2007,23(18):174-175,178.
Authors:XUXI  LIU YUBO  FAN XUEXIN
Affiliation:1.CoB.of Electrical and Information Eng., Naval Univ. of Engineering, Wuhan 430033,China;2.Force 91278, Unit50, Dalian 116000, Liaoning ,China
Abstract:Method based on fuzzy toolbox and ROSETTA with rough set to data mining of mass continuous attribute value is proposed. Fuzzy clustering of fuzzy toolbox in existence disperses continuous attribute value and transform it to knowledge sheets which are easy for rough set dealing with. These knowledge sheets are predigested by rough set application software-ROSETTA for data mining. After attributes value and knowledge attributes are predigested, kernel knowledge rulers of the continuous attribute values are obtained. The implement steps and validity of method is explained with the actual data.
Keywords:ROSETTA
本文献已被 CNKI 维普 万方数据 等数据库收录!
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