The rapid development of electric vehicle technology has led to a significant increase in the popularity of fully electric sport utility vehicles (SUVs), which offer environmental benefits and operational efficiency. However, the decision-making process for selecting the most suitable electric SUV model involves multiple criteria and inherent uncertainties. This paper proposes a novel approach for evaluating and ranking fully electric SUV alternatives using the Interval-Valued Proportional Spherical Fuzzy Analytic Hierarchy Process (IVPSF AHP). This method integrates the strengths of proportional fuzzy logic, spherical fuzzy sets, and interval-valued data to better capture expert judgments under uncertainty. A comprehensive set of evaluation criteria—including technical, economic, environmental, functional, safety, and market factors—is considered. Five SUV alternatives with similar purchasing costs are analyzed. The results indicate that brand reliability, purchase price, and driving range are the most significant factors in the selection process. The proposed methodology provides a robust and flexible decision support tool for complex multi-criteria evaluations in the electric vehicle market.