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Article type: Research Article
Authors: Wang, Fubin | Liu, Peide; * | Wang, Peng
Affiliations: School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan Shandong, China
Correspondence: [*] Corresponding author. Peide Liu, School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan Shandong 250014, China. E-mail: peide.liu@gmail.com.
Abstract: A scientific evaluation model can be effectively used for the evaluation of regional talent development level. This paper proposes a set of scientific index systems for evaluating rural science and technology talents, which can be used for understanding the development status and level of rural science and technology talents in various regions; putting forward the corresponding talent cultivation and introduction policies, and; promoting the development of rural economic construction. Moreover, in order to avoid the shortcoming of over-subjective indicator weight in analytic hierarchy process (AHP), this paper uses the entropy weight method to determine indicator weight. Furthermore, giving the fact that the evaluation experts may have individual personal preferences, this paper proposes an extended TODIM method based on hybrid index values, for achieving more scientific and effective evaluation results of rural science and technology talents. Finally, the proposed methods are evaluated on an actual case, where relevant analysis and suggestions are given.
Keywords: Rural scientific and technological talents, TODIM method, entropy weight method, hybrid indicator, multi-attribute decision-making
DOI: 10.3233/JIFS-202847
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11717-11730, 2021
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