Abstract: For the sake of controlling the hazmat transportation risk and ensuring the quality of transportation service, this paper was aimed at working out a transportation risk management and control method based on QFD and fuzzy 2-tuple linguistic model. Firstly, based on house of quality(HoQ), a core technology of QFD, risk factors in the hazmat transportation process were identified and then a hierarchical structure of the risk evaluation index system was established. Secondly, the comprehensive importance rating of each risk factor was evaluated based on fuzzy linguistic evaluation model. In particular, a comprehensive weighting model was built that can minimize the distance between subjective weights and objective weights for determining the experts' relative weights based on G1 method and the entropy method. The research results show that QFD helps to identify the risk factors affecting hazmat transportation and the fuzzy 2-tuple linguistic model not only facilitates the expression of the evaluation results but also effectively avoids the loss of decision information, and that the transportation risk management and control should pay more attention to emergency equipment, professional skills of practitioners and emergency plans.

Key words: hazmat transportation, quality function deployment(QFD), comprehensive empowerment, fuzzy 2-tuple linguistic model, relative importance, risk management and control