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Fuzzy Decision-Making in Crisis Situation: Crowd Flow Control in Closed Public Spaces in COVID’19

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Intelligent Decision Technologies

Abstract

Human behavior in a crisis situation can be very different from what is expected. Although intrinsically related to the personality of individuals and several other educational and innate parameters, in response to crisis situations, several emotional characters, and spontaneous behaviors can be triggered in search of outcomes. These psychological expressions are multiple and can be followed by variable decision-making inadequacy with the situation. This paper presents the impact of fuzzy behavior in the decision-making process in a crisis. The objective is to control the flow in public closed spaces while avoiding crowd formation to prevent contamination of the COVID’19 virus. We evaluate our model by simulating passenger behaviors in a closed public area during the post-pandemic COVID’19 context. In the experiments, we show the impact of the combination of rationality and emotional characters on the traffic flow and the risk of the pandemic spread.

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Correspondence to Wejden Abdallah .

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Abdallah, W., Abdallah, O., Kanzari, D., Madani, K. (2022). Fuzzy Decision-Making in Crisis Situation: Crowd Flow Control in Closed Public Spaces in COVID’19. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 309. Springer, Singapore. https://doi.org/10.1007/978-981-19-3444-5_42

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