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International Journal of Sports Technology, 2020, 1(4); doi: 10.38007/IJST.2020.010404.

Risk Assessment of Large-Scale Sports Events Based on Fuzzy Analytic Hierarchy Process

Author(s)

Long Chen and Shuai Yang

Corresponding Author:
Long Chen
Affiliation(s)

Guangzhou Institute of Physical Education, Guangzhou, China

Abstract

Large scale sports events bring all kinds of opportunities, but also contain huge risks. Therefore, risk management measures in the operation of sports events is important, and risk assessment is a significant part of risk management. It is indispensable to select risk factors that have a greater impact on the event risk and analyze their impact on the event risk and the degree of impact. In this paper, the fuzzy analytic hierarchy process is used to study the risk assessment. Through the identification of risk factors, the modeling of analytic hierarchy process, the construction of fuzzy evaluation matrix and the ranking of risk factors, the importance ranking of risk factors in the operation of large-scale sports events is realized. Aiming at the fuzziness of people's judgment reflected by fuzzy analytic hierarchy process, a research method of risk assessment of large-scale sports events based on fuzzy analytic hierarchy process is proposed. Through a series of steps of risk identification and risk assessment of sports events, the risk assessment of sports events is realized. Event risk factors, modeling of AHP structure, building of fuzzy judgment matrix and ranking of event risk factors. Importance ranking of risk factors. The experimental results show that the consistency ratio CR = CI / RI = = 0.0193 / 0.58 = 0.033 < 0.1, the judgment matrix has good consistency, which shows the feasibility in the risk assessment of large-scale sports events.

Keywords

Large Scale Sports Events, Risk Assessment, Model Analytic Hierarchy Process, Risk Management

Cite This Paper

Long Chen and Shuai Yang. Risk Assessment of Large-Scale Sports Events Based on Fuzzy Analytic Hierarchy Process. International Journal of Sports Technology (2020), Vol. 1, Issue 4: 40-55. https://doi.org/10.38007/IJST.2020.010404.

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