ABSTRACT
The success of drones in disaster operations has enabled this technology to become an essential part of disaster management. The operational effectiveness of drones is directly related to the team’s mastery of this technology. In this direction, while the importance of drone-assisted training increases in the preparedness phase, selecting the right drone is a critical decision, in order to get the maximum benefit from training. This chapter includes the evaluation and selection of drones that can be used in the self-training of volunteers and rescue teams. The decision environment of the problem is handled with the interval VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which is selection-oriented, seeks a compromise, and checks whether the selection satisfies the acceptability conditions. The results show that the drone selection changes when the conditions change, and the selection should be made according to the conditions to maximize benefit. Thanks to the realistic methodology followed, the most suitable drone for different conditions was determined among many alternatives on the market. In this way, the negativities of performing the training with an unsuitable drone can be minimized.
