首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于主成分分析法的科技期刊评价方法
引用本文:张弘,赵惠祥,刘燕萍,陶文文.基于主成分分析法的科技期刊评价方法[J].编辑学报,2008,20(1):87-90.
作者姓名:张弘  赵惠祥  刘燕萍  陶文文
作者单位:同济大学学报(自然科学版)编辑部,200092,上海
摘    要:针对目前科技期刊评价方法中存在的指标之间相关性问题和指标权重选取问题,提出了基于主成分分析的科技期刊评价方法.该评价方法通过相关系数矩阵的特征向量将评价指标线性变化成彼此独立的主成分,根据主成分累计贡献值确定主成分的取用维数,由主成分方差确定权重.其优点是:可以消除由于指标间的相关性带来的偏差,降低计算维数,从而降低指标选择的难度,提高评价结果的可信度;此外,可以消除人为确定指标权重引起的弊病,使评价结果更具客观性和准确性.

关 键 词:科技期刊  期刊评价  主成分分析  相关系数矩阵  特征向量  成分分析法  科技期刊  评价方法  principle  component  analysis  based  journals  method  客观性  指标权重  可信度  结果  指标选择  计算  偏差  相关性问题  方差  维数  贡献值  主成分分析  线性变化
收稿时间:2007-09-02
修稿时间:2007-10-10

Evaluation method on sci-tech journals based principle component anal ysis
ZHANG Hong,ZHAO Huixiang,LIU Yanping and TAO Wenwen.Evaluation method on sci-tech journals based principle component anal ysis[J].Acta Editologica,2008,20(1):87-90.
Authors:ZHANG Hong  ZHAO Huixiang  LIU Yanping and TAO Wenwen
Institution:Editorial Department of Journal of Tongji Un iversity,200092,Shanghai,China,Editorial Department of Journal of Tongji Un iversity,200092,Shanghai,China,Editorial Department of Journal of Tongji Un iversity,200092,Shanghai,China and Editorial Department of Journal of Tongji Un iversity,200092,Shanghai,China
Abstract:An evaluation method on sci-teeh journals based on principal component analysis is proposed to deal with the relevance between various indices and the selection of index weight. According to this evaluation method, the evaluation index is turned into mutually independent principal components on the basis of linear transformation through the eigenveetor of correlation coefficient matrix, The dimension selection of the principal components is determined according to the accumulated contributing value of the principal components and the weight is determined by the variance of the principal components. When this method is employed to evaluate the sci-tech journals, the deviation brought about by the relevance between various indices can be eliminated and the calculating dimension can be lowered, hence making the selection of index easier and improving the credibility of the evaluation results. In addition, the problems arising from subjective determination of index weight can be solved, and the evaluation results tend to be more objective and accurate.
Keywords:sci-tech journal  journal evaluation  principle component analysis  correlation coefficient matrix  eigenvector
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《编辑学报》浏览原始摘要信息
点击此处可从《编辑学报》下载免费的PDF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