粗糙集连续属性离散化模型研究与应用要点分析  

The Study and Application of Discretization Model for Continuous Attribute Values in Rough Set Theory

作　　者：赵荣泳[1] 张浩[2] 李翠玲[3] 樊留群[1] 王骏[4] 

机构地区：[1]同济大学CIMS研究中心,上海200092 [2]上海电力学院,上海200090 [3]上海海事大学电气系,上海200135 [4]上海大众汽车有限公司,上海201805

出　　处：《计算机工程与应用》2005年第8期40-42,91,共4页Computer Engineering and Applications

基　　金：中德政府合作项目(编号:20002DFG00027)资助;江苏省科技攻关项目:基于Internet网络的数控设备远程监控与诊断系统;项目编号:BE2002014

摘　　要：基于粗糙集理论,研究连续属性离散化问题的本质特点,提出粗糙集指标衡量和优化算法结构相统一的离散化思想,设计通用的离散化方法模型。分析主流的SOM网络、GA、层次聚类、信息熵等主流聚类方法的特点,并基于这种结构模型,给出了相应离散化方法的应用要点。The essential characters of continuous attribute discretization are analyzed based on Rough Set Theory.The idea that meeting for requirements of decision table in Rough Set and also the structure optimization of clustering algorithm is presented.And with this idea,the universal discretization model for continuous attribute values in rough set theory is designed.With the main clustering algorithm,SOM NN,GA,level clustering,information entropy as the typical examples,and based on the universal model,the algorithms' characters are analyzed,also the corresponding executing main-points are presented.

关 键 词：粗糙集 属性离散 聚类 模型 SOM 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]