[Purpose/significance] This paper aims to solve the problems that multiple attribute evaluation method of academic journals is numerous and evaluation result is inconsistent.[Method/process] This paper proposes a multi-attribute evaluation method based on cluster analysis method:the cluster results consistent degree of screening method. The principle is to cluster the original evaluation index at first. Then use feasible multi-attribute evaluation method to evaluate and the evaluation results are secondary clustering. Finally select the evaluation method according to the consistent degree of high low of evaluation results cluster and original index cluster results, and prefer to choose the evaluation method that the consistent degree of cluster results is highest. This paper selects 11 indexes based on the JCR2015 journal of mathematics, and uses the weighted linear summary, TOPSIS, VIKOR, principal component analysis and harmonic evaluation to evaluate respectively. Then the paper selects evaluation method based on the consistent degree of cluster results, and finds that the consistent degree of harmonic average is highest.[Result/conclusion] This method can be used to select Multiple attribute evaluation methods. The cluster type of setting has little influence on the result. This method has high robustness.
Yu Liping
. The Study of Multi-attribute Evaluation Method of Periodicals Based on Cluster Analysis: The Cluster Results Consistent Degree of Screening Method[J]. Library and Information Service, 2018
, 62(21)
: 80
-86
.
DOI: 10.13266/j.issn.0252-3116.2018.21.010
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