Train stopping scheduling has a great influence on both the user's travel time loss and the operator's operating cost in a high speed rail (HSO) system. This research develops a fuzzy multiobjective optimal model which simultaneously solves the train stopping schedule and the operation plan. The objective of the model is to minimize the operator's operating costs and the user's travel time loss. With the model, the optimal train stopping schedule, frequency, vehicle fleets, and seats allocation can be determined simultaneously according to the many-to-many demand distribution pattern.