An Integrated Entropy-TOPSIS Approach for Electric Vehicle Selection

Kiran Pal; Dhruv Saraswat; Neeraj Budhraja

doi:10.52756/ijerr.2023.v36.028

Kiran Pal Department of Mathematics, DITE Okhla Campus II, Delhi Skill & Entrepreneurship, Delhi, India https://orcid.org/0000-0003-2743-3829
Dhruv Saraswat Department of Mathematics, DITE Okhla Campus II, Delhi Skill & Entrepreneurship, Delhi, India https://orcid.org/0009-0003-1499-304X
Neeraj Budhraja Department of Mechanical Engineering, Delhi Technological University, Delhi, India https://orcid.org/0000-0002-9349-4892

DOI: https://doi.org/10.52756/ijerr.2023.v36.028

Keywords: Decision making, electric vehicle, entropy measure, MCDM, order of preference, TOPSIS

Abstract

Electric vehicles (EVs) have gained a significant role in reducing emissions of harmful greenhouse gases, which can result in serious effects like global warming, deteriorating air quality, etc. Thus, it helps tackle concerns related to the environment and health of the general public. Many nations are switching towards this new era of electric mobility, thus promoting and contributing to the goal of sustainable development. Due to the rapid evolution and expanding scope of the electric vehicle market, selecting the best alternative between various existing EV models was tedious. In this paper, the electric vehicle in the Indian market context was considered along with the TOPSIS approach as a multi-criteria decision-making tool (MCDM) for choosing and ranking the best available choice for the electric vehicle present in the Indian market for the customer. The entropy method is used to obtain the weights associated with the criteria. For this study, thirteen electric vehicles have been selected as alternatives. This study contributes by giving a real preference order, considering a broad set of selection criteria, and evaluating the best alternative from the existing EVs.

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