Comparative Performance Analysis of MCDM Approaches with Plithogenic and Neutrosophic Sets for Sustainable Mobility

Abstract

For the first time in Multi-Criteria Decision Making (MCDM) study, this paper investigates a comparison analysis using the novel Plithogenic Neutrosophic technique. Here, many options for reducing vehicle-related air pollution are compared using two well-known MCDM techniques, VIKOR and TOPSIS. The study makes use of actual data from cities with varying pollution levels and car fleets. The study's purpose is to identify which of the several types of petrol is best for automobiles through a rigorous review procedure that combines the depiction of uncertainty and inconsistency using Plithogenic Neutrosophic sets. The methodology carefully incorporates real-world data on vehicle emissions, fuel efficiency, and environmental effect. The outcomes of this comparison research, supported by real-life data, are succinctly displayed using a radar graph. This graph strikingly displays the greater performance of electric vehicles in mitigating air pollution as compared to other choices such as petrol, diesel, and hybrid automobiles. This research emphasises the efficacy of incorporating Plithogenic Neutrosophic sets into MCDM frameworks, while emphasising the necessity of informed decision-making processes based on real-life data for solving significant environmental concerns within the transportation industry.