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A Fuzzy System Approach to Evaluating Operational Risks in Ice and Snow Sports Towns

Author

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  • Shuai Guo

    (Jilin Normal University, China)

  • Zhonglin Ma

    (Jilin Normal University, China)

Abstract

The purpose of this study is to develop an intelligent fuzzy model for operational risk assessment in ice and snow sports towns under conditions of climatic uncertainty. A hybrid fuzzy analytic hierarchy process-fuzzy inference system (FAHP-FIS) is a system that uses ERA5-Land reanalysis data and combines it with other various environmental, infrastructural, managerial, and economic indicators to create an interpretable operational risk index (ORI). The fuzzy model is found to be helpful in the nonlinear correlation of variables and has significant predictive power when tested on historical disruption data of Chinese snow-sport towns. The framework demonstrates the potential of fuzzy systems in risk assessment, resilience planning, and adaptive decision support. It serves as a scalable and transparent tool for managing climate-intensive tourism processes and promoting the sustainable development of winter sports destinations.

Suggested Citation

  • Shuai Guo & Zhonglin Ma, 2026. "A Fuzzy System Approach to Evaluating Operational Risks in Ice and Snow Sports Towns," International Journal of Fuzzy System Applications (IJFSA), IGI Global Scientific Publishing, vol. 15(1), pages 1-31, January.
    • Handle: RePEc:igg:jfsa00:v:15:y:2026:i:1:p:1-31
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