Research on the Evaluation of the Dissemination Ability of Sci-Tech Periodicals Based on Hesitant Fuzzy Linguistic

Abstract

Although there is much discussion on the evaluation of the dissemination ability of sci-tech periodicals, there is no perfect evaluation method system in the existing studies, and especially the evaluation model is not operable. This paper converts the qualitative evaluation of the dissemination ability into a multi-criteria decision-making problem, and proposes a research method of sci-tech periodicals dissemination ability based on hesitant fuzzy linguistic. Firstly, this paper systematically combs the research progress of the evaluation of dissemination ability of sci-tech periodicals and multi-criteria decision-making under uncertainty. Then, a multi-criteria decision-making method based on hesitant fuzzy linguistic correlation is proposed, which fully considers the preferences of decision makers and effectively integrates the incomplete compensation hypothesis. Finally, the periodical topic planning, knowledge popularization recognition, publishing market operation ability and supporting discipline construction are selected as empirical conditions to verify the applicability and effectiveness of the model. At the same time, in order to make the empirical results more objective and scientific, the density clustering results of the questionnaire are used instead of the decision-maker membership score in the evaluation of dissemination ability. Theoretical analysis and empirical results show that the method proposed in this paper can be effectively applied to the evaluation of the dissemination ability of sci-tech periodicals.