Today’s growing awareness of environmental preservation and social responsibilities, the idea of sustainability is evolving into a fundamental guiding principle for many industrial sectors. The value of the green supply chain (GSC) can be maximised through supplier selection (SS) to keep the business sustainable and profitable. A multi-criteria decision-making (MCDM) is the most desirable technique for choosing electric vehicle from a variety of options. The objective of this study is to create the testing process correlate with the analytical hierarchy process (AHP) and the technique for ordering performance by similarity to ideal solution (TOPSIS) that will be useful for performers in the vehicle company select the best electric vehicle in fuzzy surroundings where, subjectivity and ambiguity are handled by Parameterized triangular fuzzy numbers for linguistic values. The electric vehicle selection problem’s structure is analysed using the AHP, and the weights criteria are determined. The fuzzy TOPSIS approach is then used to calculate the resultant ranking.