The supplier performance evaluation of sports event service under the COVID-19 outbreak: A novel hesitant fuzzy MARCOS method

被引:0
|
作者
Li, Guo [1 ]
Geng, Xiuli [1 ]
Yuan, Yong [2 ]
机构
[1] Univ Shanghai Sci & Technol, Business Sch, Shanghai, Peoples R China
[2] Univ Shanghai Sci & Technol, Dept Phys Educ, Shanghai, Peoples R China
关键词
Sports suppliers selection; COVID-19; hesitant fuzzy set; MARCOS; multi-criteria decision-making; BEST-WORST; SELECTION; SETS; AGGREGATION; EFFICIENCY; CRITERIA; VIKOR;
D O I
10.3233/JIFS-230601
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Under the COVID-19 pandemic, sports event is facing enormous challenges. Logistics and security are affected seriously. The ability of service suppliers to deal with uncertainty is critical. Considering complex uncertainty, evaluating the service suppliers of sports events is reasonable. This study proposes a new framework for selecting sports suppliers, which combines a hesitant fuzzy set (HFS) and Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) method. MARCOS is based on determining the reference values of alternatives about the ideal and is a comprehensively rational and reasonable application methodology. HFS has the advantage of expressing fuzzy and hesitant evaluation information, which is seldom used in the MARCOS framework. A case study of a sports supplier selection for the 2022 China National Youth U Series Floorball Championship is given to demonstrate the practicability of the proposed approach. Finally, a comprehensive sensitivity analysis is performed to verify the proposed methodology's stability and effectiveness.
引用
收藏
页码:3965 / 3984
页数:20
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