Selection of Commercially Available Electric Vehicle using Fuzzy AHP-MABAC

There has been a paradigm shift towards electric vehicles (EVs) in the mobility sector to reduce green-house gas (GHG) emission and its impact on environment. The aim of this paper is to propose a holistic model for selection and ranking of a group of battery EVs using multi-attributive border approximation area comparison (MABAC) method considering various technical and operational attributes like fuel economy, base model pricing, quick accelerating time, battery range and top speed. The stability of the result obtained by this method is established through a sensitivity analysis. A sample of seven potential alternatives has been considered for study. It has been found that Hyundai Ioniq electric outperforms over other alternatives based on chosen criteria.