计算机科学
事件(粒子物理)
运筹学
排名(信息检索)
模糊逻辑
服务(商务)
冠军地位
妥协
2019年冠状病毒病(COVID-19)
计算机安全
数据挖掘
业务
营销
广告
人工智能
工程类
政治学
法学
传染病(医学专业)
疾病
病理
物理
医学
量子力学
作者
Li Guo,Xiuli Geng,Yong Yuan
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.
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