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Various companies have developed electric vehicle (EV)-based multiple fuel supply system modeling approaches (FSSMAs). Nonetheless, no superior approach concurrently satisfies all essential criteria, including ‘sustainability’ and ‘fuel consideration’ criteria. Furthermore, benchmarking the FSSMA alternatives to determine the most sustainable ones does not come without issues. The five main most common concerns are the use of various evaluation criteria, effecting the weights of the criteria with sublayers, criteria prioritization, trade-offs among the criteria, and data variations. Thus, this study proposes a novel FSSMA for EV benchmarking based on two methods—the Pythagorean probabilistic hesitant fuzzy sets and fuzzy weighted zero inconsistency (PPH–FWZIC) and the measurement of alternatives and ranking according to the compromise solution (MARCOS)—which are integrated as a single method …