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OA

[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.