科技情报研究2026，Vol.8Issue(2)：117-128,12.DOI:10.19809/j.cnki.kjqbyj.2026.02.011
基于因子降维数据变权与办刊特色导向的学术期刊评价研究
Research on Academic Journal Evaluation Based on Factor Dimensionality Reduction,Data Weighting,and Journal Characteristics Orientation
摘要
Abstract
[Purpose/significance]The characteristics of academic journals have important value,and current evaluation systems lack asses-ment for this dimension.[Method/process]This paper proposes a variable weight method for factor reduction data,firstly uses factor analy-sis combined with manual classification to determine the characteristics of the journal,and uses Sigmoid function to standardize the pub-lic factors to determine the characteristic journals,and then uses the variable weight function to modify the original data for the character-istic indicators of the characteristic journals based on the data of forestry journals in CNKI.Three representative methods including linear weighted aggregation,weighted TOPSIS,and factor analysis,are used for conducting empirical research.[Result/conclusion]The charac-teristic evaluation of academic journals must be paid enough attention.The variable weight of factor reduction data provides a new idea from the perspective of basic data.The data variable weight linear weighting summary evaluation value has been reduced.The data vari-able weight TOPSIS evaluation value has been reduced.The explanatory power of factor analysis is improved after the data is weighted.关键词
期刊特色/学术评价/因子降维数据变权法/因子分析/TOPSISKey words
journal characteristics/academic evaluation/factor reduction data variable weight method/factor analysis/TOPSIS分类
社会科学引用本文复制引用
俞立平,张静..基于因子降维数据变权与办刊特色导向的学术期刊评价研究[J].科技情报研究,2026,8(2):117-128,12.基金项目
国家社会科学基金项目"学术期刊评价——指标创新与方法研究"(编号:21FTQB016) （编号:21FTQB016）
浙江省登峰学科(浙江工商大学统计学)资助项目(编号:2025ZD2A) （浙江工商大学统计学）
浙江省高校图工委科研项目(编号:2025TKT010). （编号:2025TKT010）
