Journal of System Simulation
Abstract
Abstract: The evaluation of the quality level of academic journals was investigated. In order to overcome the drawbacks of current methods which made uses of only the subjective evaluation information or the objective information on the journals, a comprehensive evaluation method was proposed for integrating both the decision makers' subjective information and the objective information. The decision makers' subjective evaluation information was expressed in some grade, grade interval, or a fuzzy set over a grade evaluation set. The objective information of journals was reflected by the numerical attributes, such as, the total citation frequency, impact factor and immediacy index. By means of normalization, the subjective and the objective information were transformed into the fuzzy set over the basic grade set. The weights of the subjective information and the objective information were figured out by setting up an optimal model, based on which both kinds of information were integrated for the overall values of the journals.
Recommended Citation
Quan, Zhang; Xin, Wen; Yu, Liping; and Wei, Jia
(2020)
"Research Method for Integrating Subjective and Objective Information in Evaluating Quality Level of Journals,"
Journal of System Simulation: Vol. 27:
Iss.
5, Article 13.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss5/13
First Page
1010
Revised Date
2014-07-07
DOI Link
https://doi.org/
Last Page
1016
CLC
N945.16
Recommended Citation
Zhang Quan, Wen Xin, Yu Liping, Jia Wei. Research Method for Integrating Subjective and Objective Information in Evaluating Quality Level of Journals[J]. Journal of System Simulation, 2015, 27(5): 1010-1016.
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