An Integrated Fuzzy Decision-Making Approach to Emergency Evacuation Based on HF ELECTRE

Evacuation during emergencies relies on transporting the maximum number of potentially affected people from hazard areas to the safe destinations are becoming more and more popular. However, hard computing approaches to solving these problems have limited capabilities due to such factors as complexity of the problems, environmental factors, human behavior. Uncertainty and fuzziness incorporated into emergency evacuation strategies require fuzzy emergency problem statements and decision-making. Another problem researchers tackle during emergency response is transporting potential victims by the path of the minimum time in a dynamic network, whose arc traversal time can vary because of blocking of hallways with fire. This article integrates flow approaches in transportation networks and hesitant fuzzy decision-making to move the maximum possible number of potential victims to the safe destination in shortest time. On order to determine the priority list in which the aggrieved must be transported to the sink, tools of multi-attribute decision making are used. Hesitant fuzzy ELECTRE method is applied find the ranks of intermediate nodes for transportation the potential victims. The goal of the designed method is to shift the potential victims from the dangerous source nodes to the safe sinks which have various levels of priority based on different attributes such as level of reachability, capacity of destination nodes, reliability and affordability. A case study illustrates the designed algorithm.