A new ELECTRE-based decision-making framework with spherical fuzzy information for the implementation of autonomous vehicles project in Istanbul

This research study keenly employs the ground-breaking theory of ELECTRE method in order to advance the literature with a more competent technique for the frequently implemented and incredibly practical model of spherical fuzzy sets. The eminent characteristics, broader approach and adaptable model of spherical fuzzy set empowers the proposed strategy to captivate each type of the imprecise human judgement (whether in favor, against, neutral or hesitant) using a dependent and three independent membership grades. The remarkable novelty of the proposed approach is its successful application even with no criteria weights knowledge. Furthermore, the proposed technique processes the spherical fuzzy data and examines different types of preferences among alternatives using three threshold values. These preferences contribute to classify the outranking relations among the alternatives within five different levels of dominance. Later on, the iterative approach of distillation is deployed to figure out the final ranking. The proposed strategy is applied to meet the challenges in the implementation of autonomous vehicles in Turkey. After a through evaluation of five corridors via proposed technique in reference to fifteen criteria, metrobus corridor appears as the most appropriate for the autonomous vehicle operation. In the last, the consistency of the proposed approach is delineated via comparative analysis with existing spherical fuzzy CODAS and spherical fuzzy PROMETHEE approaches and other convincing evidences.