Fuzzy evaluation model of urban resilience for COVID-19 prevention and control based on TOPSIS

Junyi Guo

doi:10.1117/12.2656779

20 October 2022 Fuzzy evaluation model of urban resilience for COVID-19 prevention and control based on TOPSIS

Junyi Guo

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 1245117 (2022) https://doi.org/10.1117/12.2656779
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

At present, the novel coronavirus variant strain has broken out in some cities in China. After prevention and control, the epidemic situation is basically in the final stage of control. To assess the resilience of cities in different regions, this paper established a COVID-19 resilience assessment model based on TOPSIS and fuzzy mathematics. Firstly, according to the concept of urban resilience, three first-level indicators are selected, namely elasticity, resilience and adaptation. Then 17 second-level indicators are selected to quantify the three first-level indicators. Finally, based on the results of the model, possible approaches to improve resilience in COVID-19 prevention and control are proposed.

Citation Download Citation

Junyi Guo "Fuzzy evaluation model of urban resilience for COVID-19 prevention and control based on TOPSIS", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 1245117 (20 October 2022); https://doi.org/10.1117/12.2656779

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