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Recognition of Key Injuries in Winter Sports Events Based on Rough Set and Cellular Genetic Algorithm

In: Liss 2021

Author

Listed:
  • Xiucheng Li

    (Beijing Jiaotong University)

  • Jing Li

    (Beijing Jiaotong University)

  • Yuzhuo Zhao

    (Chinese PLA General Hospital)

Abstract

The normal operation of winter sports events is faced with the challenge of many security incidents, which will inevitably cause harm to people when they turn into disasters. Taking winter sports events as the scene, this paper combs the main disasters, injuries and treatment measures, constructs a decision table with multiple decision attributes, and reduces the attributes of injuries based on rough set theory and cellular genetic algorithm, so as to find four key injuries. On the basis of finding the four key injuries, it can provide guidance for the next step of specific research for each injury, and also provide a reference for the actual medical measures of winter sports events to a certain extent.

Suggested Citation

  • Xiucheng Li & Jing Li & Yuzhuo Zhao, 2022. "Recognition of Key Injuries in Winter Sports Events Based on Rough Set and Cellular Genetic Algorithm," Lecture Notes in Operations Research, in: Xianliang Shi & Gábor Bohács & Yixuan Ma & Daqing Gong & Xiaopu Shang (ed.), Liss 2021, pages 151-159, Springer.
    • Handle: RePEc:spr:lnopch:978-981-16-8656-6_14
    DOI: 10.1007/978-981-16-8656-6_14
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