Decision-Making Based on Intuitionistic Preference Relations for Emergency Evacuation

Storms are considered to be one of the most devastating and costliest disasters in the world. According to the disaster data from the International Disaster Database, in a period from 2001 to 2021, about 28% natural hazards are caused by storms. That is why making reasonable decisions regarding evacuation strategy of potential victims is needed. In multi-attribute decision-making, experts may not know the precise values of evaluations. Moreover, it can be hard to predict the degree of preference of one alternative over another so that the certain level of uncertainty exists. Therefore, preference relations in fuzzy conditions are used for these reasons. Intuitionistic fuzzy sets allow handling these uncertain parameters in such a form that considers experts’ hesitation regarding assessments of attributes by dealing with membership, non-membership function and indeterminacy degree. In this paper, we consider the necessity of evacuation as the evacuation risky strategy in uncertain conditions as a task of multi-attribute decision-making. A proposed algorithm deals with intuitionistic preference relations to find the desirable evacuation strategy. The proposed algorithm enables transporting the maximum possible number of evacuees to safe destinations allowing intermediate storage. This technique leads to increasing the number of evacuated people. A numerical example is given to justify the results of the algorithm.