Akademik Veri Yönetim Sistemi
2026 5th International Informatics and Software Engineering Conference (IISEC), Ankara, Türkiye, 5 - 06 Şubat 2026, ss.394-399, (Tam Metin Bildiri)
—Electric vehicles, one of the leading players in today's transportation sector, are environmentally friendly and energy efficient. The most critical factor enabling electric vehicles to offer these advantages is the battery system. Evaluating numerous criteria in battery selection, such as energy density, cycle life, cost, safety, and environmental impact, requires the use of multi-criteria decision-making (MCDM) approaches. In this study, the Fuzzy Analytic Hierarchy Process (AHP)–Multi-Objective Optimisation by Ratio Analysis (MOORA) and Fuzzy Step-wise Weight Assessment Ratio Analysis (SWARA)–Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods were used as a hybrid approach to compare the most suitable battery selection in electric vehicles. The Fuzzy AHP method was used to weight the criteria, and then the battery selection was evaluated using the Fuzzy MOORA method. The same decision problem was evaluated using the Fuzzy SWARA TOPSIS method, and the model results were compared. In both models, the NMC (Lithium Nickel Manganese Cobalt Oxide) battery was determined to be the alternative closest to the ideal solution. The Consistency Ratio (CR) values obtained in the analyses confirmed the reliability of the criterion weights, while the Coincidence Coefficient (CC) values indicated that the TOPSIS results provided a stable ranking. This study demonstrated that the use of fuzzy logic-supported MCDM methods in engineering decisions involving uncertainty significantly increases consistency in the decision-making process. Furthermore, it is anticipated that the proposed integrated method can be applied to new-generation energy systems, such as the analysis of battery technologies.