Abstract
Metro station is crowded during rush hours and the structure is usually complex. Hence, the determination of an optimal evacuation strategy is the key for improving the evacuation process efficiency when an emergency event happens. A group decision-making model based on triangular intuitionistic fuzzy numbers (TIFNs) theory is developed for selecting an evacuation strategy in metro station. In this model, a group of experts elicit their preferences about the different evacuation strategies using TIFNs for multiple criteria. The Elimination Et Choice Translation Reality (ELECTRE) method is used to sort the different emergency evacuation strategies proposed for the metro station, and it should be adapted to manage TIFNs above all. The TIFN-ELECTRE model is proposed and applied to select the best emergency evacuation strategy of metro station. Finally, a numerical example with respect to the emergency evacuation strategy of Wuhan Guanggu Square station is carried out.
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