情报杂志2017，Vol.36Issue(3)：196-201,6.DOI:10.3969/j.issn.1002-1965.2017.03.034
基于主成分和集对分析法的期刊评价方法研究
Research on Journal Evaluation Method Based on Principal Component and Set Pair Analysis
摘要
Abstract
[Purpose/Significance]With the increasing attention of the journal ranking, the research on the evaluation method of periodicals is of great significance.In order to study the periodical evaluation methods, analysis and evaluation index of journals between the degree of separation and structure, and finally improve the quality of the Journal evaluation.[Method/Process]the article selects 16 indicators to evaluate the Journal, including influence index, fund paper ratio, the total cited frequency, cited journals and so on.Through the principal component analysis, the evaluation index was selected, and the evaluation index system was constructed.The degree of separation between the indexes was analyzed by set pair analysis method.[Result/Conclusion]Empirical results show the index of higher grade journals is higher, the difference is relatively low, and the index of the lower grade journals is relatively low, and the difference is relatively high.But there was no significant difference in the degree of opposition.The results obtained by the index system are basically not different from the official results.That shows that the set pair analysis method not only can analyze the index characteristics of the journal, but also has high reliability and validity in the evaluation of journals.关键词
期刊评价/综合评价指标/指标分离度/集对分析法/主成分分析法Key words
Journal Evaluation/comprehensive evaluation index index/separation degree/set pair analysis method/principal component analysis method分类
社会科学引用本文复制引用
陈国福,王亮,熊国经,张瑞..基于主成分和集对分析法的期刊评价方法研究[J].情报杂志,2017,36(3):196-201,6.基金项目
国家自然科学基金项目"基于增强邻域搜索策略的联合型生产调度问题算法研究"(编号:61473141)资助 （编号:61473141）
国家社会科学基金项目"非参数估计的影响因素优化匹配方法与应用研究"(编号:14BTJ016)研究成果之一. （编号:14BTJ016）
