Research on the evaluation of the communication power of sci-tech periodicals based on the hesitant fuzzy model
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DOI: 10.23977/HMEET.2019.055
Author(s)
Bing Liu, Zhijun Lv, Dongyu Chang, Nan Zhu and Fan Qu
Corresponding Author
Bing Liu
ABSTRACT
In order to realize the quantitative evaluation under the qualitative index of the communication power of sci-tech periodicals, this article takes sci-tech periodicals as the research object to transform the evaluation of communication power into a multi-strategy decision-making problem, and proposes a research method of sci-tech periodicals communication power based on hesitant fuzzy language correlation. Firstly, the four qualitative indicators of the strategic planning of the journal, the recognition of knowledge popularization, the consistency of the journal with its own positioning image, and the impact of the journal on target readers are used as indicators to be evaluated to construct a fuzzy hesitation language set. Then, a hesitant fuzzy language number correlation based on each evaluation criterion is established. Finally, the dominant matrix of the correlation is derived to obtain the evaluation judgment value. Theoretical analysis and example verification show that the proposed algorithm can quantitatively judge the communication power of different sci-tech periodicals, and provide a strong support for managers to make accurate decisions.
KEYWORDS
Sci-tech periodicals; communication power; hesitant fuzzy language correlation; multi-strategy decision-making