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

Xiucheng Li (), Jing Li () and Yuzhuo Zhao ()
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Xiucheng Li: Beijing Jiaotong University
Jing Li: Beijing Jiaotong University
Yuzhuo Zhao: Chinese PLA General Hospital

A chapter in LISS 2021, 2022, pp 151-159 from Springer

Abstract: 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.

Keywords: Rough set; Cellular genetic algorithm; Winter sports events; Attribute reduction (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-16-8656-6_14

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DOI: 10.1007/978-981-16-8656-6_14

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