A NEW HYBRID APPROACH FOR OPTIMIZING DIESEL VEHICLE SELECTION USING FUZZY DECISION-MAKING METHODS: IT2 F-SITW + IT2 F-ORESTE

Authors : Müslüm Öztürk

Pages : 157-168

Doi:10.22531/muglajsci.1734953

View : 57 | Download : 203

Publication Date : 2025-12-31

Article Type : Research Paper

Abstract :In recent years, the growing interest in sustainable transportation has made multi-criteria decision-making (MCDM) methods crucial for selecting diesel vehicles with minimal environmental impacts and high fuel efficiency. This study introduces a hybrid approach, the Interval Type-2 Fuzzy SITW (IT2 F-SITW) combined with Interval Type-2 Fuzzy ORESTE (IT2 F-ORESTE), which is proposed for the first time in the literature. To test the validity of this method, five different diesel vehicle selection problems were considered. The IT2 F-SITW method was used to determine the criteria weights, followed by the IT2 F-ORESTE method to rank the alternatives. The criteria used in this study were fuel consumption, maintenance cost, engine power, interior volume, and spare parts availability. The alternative vehicles were evaluated based on technical specifications and expert opinions. According to the results, the Opel Astra 1.6 Diesel was identified as the most suitable diesel vehicle. Furthermore, a sensitivity analysis was performed to test the robustness of the proposed method, and the results showed that it provides stable outcomes. In this context, the proposed hybrid method not only allows for more accurate evaluations in uncertain environments but also offers decision-makers an effective tool in practical problems such as vehicle selection.
Keywords : Çok Kriterli Karar Verme (ÇKKV), Aralık tip-2 bulanık mantık, Araç seçimi, IT2 F-SITW yöntemi, IT2 F-ORESTE yöntemi

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