Decision-Making using the Hesitant Fuzzy Sets COMET Method: An Empirical Study of the Electric City Buses Selection

Abstract

The analysis of decisions under uncertainty has always been a challenging problem and numerous tools have been proposed to deal with it. Recently, a new extension of the COMET method has been proposed, which is based on hesitant fuzzy sets (HFS). This approach has been presented to handle situations in which experts hesitate during identifying the membership grade for the considered attributes. This technique, as well as its basic version, are entirely free of the rank reversal phenomenon, which allows making more reliable decisions.In this paper, we present a short empirical case study of the electric city buses selection. This problem allows presenting how the decision-making process is working by using the HFS COMET. Afterwards, the paper shows efficiency and advantages of the HFS COMET in accordance to the presented study case. The obtained results show that the HFS COMET is a chance to get more reliable decisions when uncertain data is being used.