首页 | 官方网站   微博 | 高级检索  
     

基于R型聚类-因子分析的指标体系简化方法
引用本文:陆可,邹启鸣,李鸣,吴金南. 基于R型聚类-因子分析的指标体系简化方法[J]. 计算机系统应用, 2016, 25(5): 118-123
作者姓名:陆可  邹启鸣  李鸣  吴金南
作者单位:安徽工业大学 管理科学与工程学院, 马鞍山 243032,安徽工业大学 管理科学与工程学院, 马鞍山 243032,安徽工业大学 管理科学与工程学院, 马鞍山 243032,安徽工业大学 商学院, 马鞍山 243032
基金项目:国家自然基金项目(71371013)
摘    要:评价指标体系过于复杂,容易产生冗余信息,增加计算与分析的难度.本文针对评价指标体系的简化方法展开研究,提出了基于R型聚类-因子分析的代表元提取方法.该方法具有定量控制代表元的信息丢失率、代表元实际含义易于解释等优点,同时避免了因子分析难以处理独立指标的问题.实验结果表明本文所提出的R型聚类–因子分析指标体系简化方法可以在没有先验知识可用的情况下,有效提高指标体系的简明性与有效性,同时保持指标信息的完备性.

关 键 词:指标体系简化  代表元  因子分析  R型聚类
收稿时间:2015-08-27
修稿时间:2015-10-26

Simplification Method of Index System Based on R Cluster Analysis and Factor Analysis
LU Ke,ZOU Qi-Ming,LI Ming and WU Jin-Nan. Simplification Method of Index System Based on R Cluster Analysis and Factor Analysis[J]. Computer Systems& Applications, 2016, 25(5): 118-123
Authors:LU Ke  ZOU Qi-Ming  LI Ming  WU Jin-Nan
Affiliation:School of Management Science and Engineering, Anhui University of Technology, Maanshan 243032, China,School of Management Science and Engineering, Anhui University of Technology, Maanshan 243032, China,School of Management Science and Engineering, Anhui University of Technology, Maanshan 243032, China and Business College, Anhui University of Technology, Maanshan 243032, China
Abstract:An excessively complicated index system may increase the complexity of computation. This work proposes a simplification method of index system based on R cluster analysis and factor analysis to extract the representative elements. This method can control the information loss rate of the representation element and explain the actual meaning of the representation element easily. It also avoids the weakness of factor analysis which is difficult to handle the problem with independent factor. The experiment results show that this method can improve the simplicity and effectiveness of index system significantly, and maintain the completeness of the index information without a prior knowledge is available.
Keywords:simplification method of index system  representation element  factor analysis  R cluster analysis
点击此处可从《计算机系统应用》浏览原始摘要信息
点击此处可从《计算机系统应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号