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Journal of Scientific Information Research

Keywords

journal characteristics; academic evaluation; factor reduction data variable weight method; factor analysis; TOPSIS

Abstract

[Purpose/significance] The characteristics of academic journals have important value, and current evaluation systems lack assesment for this dimension. [Method/process] This paper proposes a variable weight method for factor reduction data, firstly uses factor analysis combined with manual classification to determine the characteristics of the journal, and uses Sigmoid function to standardize the public factors to determine the characteristic journals, and then uses the variable weight function to modify the original data for the characteristic 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 characteristic 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 variable weight TOPSIS evaluation value has been reduced. The explanatory power of factor analysis is improved after the data is weighted.

First Page

117

Last Page

128

Submission Date

28-Jul-2025

Revision Date

21-Aug-2025

Acceptance Date

01-Sep-2025

Published Date

01-Apr-2026

Reference

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Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2026.02.011

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