Multimodal transportation, as an efficient and comprehensive transport mode in the modern logistics system, significantly improves logistics efficiency and reduces costs by integrating various transportation modes. However, due to uncertainties such as weather conditions, logistics companies cannot accurately grasp and predict freight transportation demand. Additionally, the time-sensitivity requirements of multimodal transportation frequently lead to delays in freight transportation. To characterize the randomness and uncertainty of transportation demand parameters, triangular fuzzy numbers a...
