The Complementary Study among Different Evaluation Indexes in Academic Journal Evaluation

  • Xu Xinhua ,
  • Yu Liping ,
  • Wang Zuogong
Expand
  • 1. School of management and economics, Nanchang University, Nanchang 330031;
    2. Zhejiang Gongshang University, School of Management and E-Business, Hangzhou 310018;
    3. Guizhou University of Finance and Economics, School of Finance, Guiyang 550025

Received date: 2018-01-28

  Revised date: 2018-04-03

  Online published: 2018-07-20

Abstract

[Purpose/significance] This paper discusses the complementary problem between implicit indexes in science and technology evaluation. The complementary problem is that an index which does not increase or increases rarely can be compensated by other index increasing more, and the complementation is divided into equal complementation, excess complementation and under balance complementation. [Method/process] It designed a method of test and judgment, aiming at a certain nonlinear evaluation method, and maintaining an index constant, to calculate the change of evaluation value which is caused by increasing other different attribute index average, and compared with the change of linear weighted method evaluation value.[Result/conclusion] Research shows that the complementation between the index of multi-attribute evaluation method is a complex problem, which is influenced by various factors such as evaluation method, index data, weight arrangement and compensation value; the method of multi-attribute evaluation based on ratio is more likely to be the under balance complementation; due to the correlation between similar evaluation indexes, the indexes of complementary should be carried out between different attribute indexes; the complementation problem of indexes has a profound influence on the selection of multi-attribute evaluation methods, and in essence the index weight is changed euphemistically, which can be used as a method of evaluation test and management control.

Cite this article

Xu Xinhua , Yu Liping , Wang Zuogong . The Complementary Study among Different Evaluation Indexes in Academic Journal Evaluation[J]. Library and Information Service, 2018 , 62(14) : 98 -105 . DOI: 10.13266/j.issn.0252-3116.2018.14.012

References

[1] HIRSCH J E. An index to quantify an individuals scientific research output[J].Proceedings of the National Academy of Sciences, 2005,102 (46):16569-16572.
[2] SHANNON C E, WEAVER W. The mathematical theory of communication[J]. Mobile computing and communications reviews, 1948, 5(1):3-55.
[3] HUANG C L, YOON K P. Multiple attribute decision making:methods and applications[M]. Berlin:Springer-Verlag, 1981:1-50.
[4] OPRICOVIC S. Multi criteria optimization of civil engineering systems[D]. Belgrade:Faculty of Civil Engineering, 1998.
[5] 邱东. 多指标综合评价方法[J]. 统计研究,1990(6):43-51.
[6] 苏为华. 多指标综合评价理论与方法问题研究[D]. 厦门:厦门大学,2000.
Outlines

/