Multi-criteria decision-making is essential in both research and practical applications, with a key challenge being the precise determination of criterion weights. Various approaches exist, including both exact and approximative methods, such as the Saaty method, the Best-Worst Method, and its fuzzy adaptation known as the Fuzzy Best-Worst Method. The fuzzy variant enhances the ability to manage uncertainty by assigning interval values to the importance of criteria. This study explores fundamental issues related to the assignment of fuzzy numbers to linguistic terms, the consistency of these numbers in computational processes, and the suitability of criteria for weight determination. The discussion is framed within the context of transportation mode selection, a problem that has been previously examined in both classical and fuzzy environments. Refinements in the Fuzzy Best-Worst Method, particularly through the use of triangular fuzzy numbers, have been introduced to enhance decision-making accuracy. The objective of this research is to contribute to the advancement of this method and encourage discussions on its precision and practical applicability.