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Article type: Research Article
Affiliations: Xi’an Eurasia University, Xi’an, Shaanxi, China
Correspondence: [*] Corresponding author. Yan Li, Xi’an Eurasia University, Xi’an, Shaanxi, China. E-mail: 18691550150@163.com.
Abstract: With the development of socialist market economy, the exhibition industry has emerged as the tertiary industry matures in a globalized economic environment. As a new economic form, the exhibition economy presents new opportunities for economic development. The research on the exhibition industry at home and abroad has been relatively mature, and there has been a scientific analysis of the industrial linkage effect of the exhibition industry. The strong industrial linkage effect has made the exhibition industry occupy a very important position in the economic development of cities. However, in the development of China’s urban exhibition industry today, it is no longer a simple question of developing and enhancing the strategic position of the exhibition industry in economic development, but rather a question of how to enhance the competitiveness of China’s urban exhibition industry. Only when the level of competitiveness is improved can the economic and social benefits brought by the exhibition industry be brought into full play. The fuzzy comprehensive competitiveness evaluation of urban exhibition industry is a classical multiple attribute decision making (MADM) problems. Recently, the TODIM and VIKOR method has been used to cope with MAGDM issues. The hesitant fuzzy sets (HFSs) are used as a tool for characterizing uncertain information during the fuzzy comprehensive competitiveness evaluation of urban exhibition industry. In this manuscript, the hesitant fuzzy TODIM-VIKOR (HF-TODIM-VIKOR) method is built to solve the MADM under HFSs. In the end, a numerical case study for fuzzy comprehensive competitiveness evaluation of urban exhibition industry is given to validate the proposed method.
Keywords: Multiple attribute decision making(MAGDM), Hesitant fuzzy sets (HFSs), TODIM, VIKOR, urban exhibition industry
DOI: 10.3233/JIFS-231672
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 1, pp. 1313-1323, 2023
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