The intensity of global warming is increasing at an alarming rate, posing an increasingly serious threat to the world. Life on Earth will be jeopardized due to the effects of global warming unless swift and coordinated action is taken to reduce greenhouse gas emanations. The launch of electric vehicles (EVs) is significant development popular reducing the impact of global warming. Many nations are moving toward the use of electric vehicles, which encourages sustainable development. Even though EVs are becoming more and more popular globally, choosing the best option among the many available models can be challenging. In order to opt and grade the finest substitute for an electric vehicle, this study presents an integrated strategy that combines the m-polar fuzzy set (mFs) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique as a multi-criterion decision-making tool (MCDM). The data of the decision matrix is used as m-polar fuzzy input for the decision making. The weight coefficients of the criterion are obtained exercising the AHP methodology, and the TOPSIS method is used to assess the choice of EVs alternative. A sample of six workable options has been taken into consideration for the investigation. The combined m-polar fuzzy TOPSIS strategy, which hasn't been used in this field before, is what makes this work original. This study contributes by evaluating the best option among the electric vehicles which is KONA ELECTRIC vehicle helps the customer to purchase the electric vehicle. This study also explains the application of the m-polar fuzzy TOPSIS technique to resolve the MCDM glitch.