This study addresses transportation-related problems encountered in industrial systems and proposes a decision-making methodology based on the Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. The aim is to select the most suitable shuttle system among multiple alternatives by evaluating various qualitative and quantitative criteria under uncertainty. Key evaluation criteria include cost, operational convenience, flexibility, reliability, safety, and after-sales service. Due to the vagueness and subjectivity inherent in expert judgments, linguistic variables are converted into triangular fuzzy numbers to construct the decision matrix. The method involves calculating the weighted normalized fuzzy decision matrix, determining fuzzy positive and negative ideal solutions, and computing the closeness coefficients for each alternative. The final ranking reveals that Alternative A2 demonstrates the highest similarity to the ideal solution and is therefore identified as the most appropriate shuttle system. The study highlights the effectiveness of the Fuzzy TOPSIS method in handling complex, multi-criteria decision-making problems in uncertain environments.