Smart emergency multi-attribute decision-making for typhoon response based on a hybrid intuitionistic fuzzy approach

The global climate crisis, which has severely damaged economies and led to migration of millions of people worldwide as a result of typhoons, tsunamis and others environmental changes and disasters, requires increased urban sustainability in decision-making and preparedness for various human mobility strategies. Despite extensive research in the field of emergency evacuation, few publications are devoted to fuzzy conditions. However, many of the attributes inherent in emergency modeling are fuzzy and uncertain by nature. Thus, we account for the necessity of evacuation as a human mobility strategy under intuitionistic fuzzy conditions, which allow experts to express hesitation when evaluating criteria. We have developed a hybrid intuitionistic fuzzy method to find the best evacuation strategy in an uncertain environment. To verify the results, we applied our method to one of the eastern regions of China, Jiangxi Province, in the event of Typhoon Maria to define the necessity of evacuation based on seven criteria. Necessity of evacuation is expressed by five response alternatives: no evacuation, alertness, recommended evacuation, mild evacuation, urgent evacuation. According to the algorithm the most desirable strategy in this situation is alertness, which means preparedness for evacuation. The results obtained demonstrate superiority of the proposed hybrid method in comparison with other intuitionistic fuzzy approaches.