Decision-Making for Electric Vehicle Selection Using AHP-MABAC-Fuzzy Integration

The widespread adoption of electric vehicles (EVs) is pivotal for achieving sustainable and eco-friendly transportation systems. However, the selection of an optimal electric vehicle considering multiple criteria poses a complex decision-making challenge. This research proposes an integrated approach that combines the Analytic Hierarchy Process (AHP), Multi-Attributive Border Approximation Area Comparison (MABAC), and Fuzzy Logic to enhance the decision-making process for selecting the most suitable electric vehicle. The AHP is employed to structure the hierarchy of criteria and sub-criteria, capturing the diverse factors influencing EV selection, including cost, range, charging infrastructure, environmental impact, and performance. MABAC, a multi-criteria decision-making method, is utilized to calculate the relative rankings and weights of alternatives based on pairwise comparisons, considering both positive and negative aspects.To account for the inherent uncertainties and vagueness in decision-making, fuzzy logic is integrated to handle linguistic assessments and subjective judgments. Fuzzy sets and membership functions are employed to model the imprecision in decision-makers preferences, providing a more realistic representation of the decision-making process. The proposed AHP-MABAC-Fuzzy integration is applied to a case study involving the selection of electric vehicles, considering a set of real-world criteria and sub-criteria. The results demonstrate the effectiveness of the integrated approach in handling the complexity and uncertainty associated with electric vehicle selection. This research contributes to the field of multi-criteria decision-making for sustainable transportation by providing a comprehensive and flexible methodology for electric vehicle selection. The integration of AHP, MABAC, and fuzzy logic offers a robust framework that can be adapted for decision-making in various domains where multiple conflicting criteria need to be considered.