Topal, AyşeYürüyen, Ali AygünUlutaş, AlptekinKarabasevic, DarjanKaraköy, Çağatay2024-11-072024-11-072021978-179988042-4978-179988040-0https://doi.org/10.4018/978-1-7998-8040-0.ch010https://hdl.handle.net/11480/11705Freight transportation is one of the most important and costly operations in logistics as economy and society are significantly depended on freight transportation for the sustainability of life. Vehicle selection in freight transportation is a crucial and strategic decision as it requires high investments, and if the desired performance cannot be achieved from these vehicles, which were bought at a high expense, they would inevitably be idle. Vehicle selection problem in logistics is essentially a multi-criteria decision problem as it consists of several criteria, some conflicting with each other. The aim of this research is to find out which criteria freight companies value the most when assessing and selecting the vehicles they use on the road by using fuzzy BWM and fuzzy SWARA methods. Since the number of studies using fuzzy BWM and fuzzy SWARA is low in the literature and there are few studies in the literature related to transportation vehicle selection in the logistics, this study will contribute to the literature. © 2021, IGI Global.eninfo:eu-repo/semantics/closedAccessBook Chapter21423110.4018/978-1-7998-8040-0.ch0102-s2.0-85128141524N/A