本研究以營運者每日長期營運總成本最小化及使用者每日總旅行時間成本最小化為目標，並考慮旅客需求量、旅客設計運量、旅客步行忍受距離、最小設計站距、旅客等車時間容忍度及車輛平均承載旅客數等參數之不確定性，構建多目標公車營運計畫最佳化模式，採用模糊多目標規劃法加以求解。同時為使決策者能實際參與決策程序，適切表達偏好，乃以互動性決策運算求解法，來求得妥協解，使所求得之營運計畫，更符合公車營運者之所需。 In this research, the fuzzy multiobjective programming theory was used to develop an urban bus operations plan model under fuzzy environment. The objectives of the model are to minimize the daily operating cost and to minimize the average travel time cost. The fuzzy numbers were used to characterize the vagueness of bus operating parameters which include the passenger demand, the design passenger volume, the maximum walking distance, the minimum design stop spacing, maximum tolerance ratio of waiting time and the vehicle capacity. In this way, the influence of fuzzy operating environment can be suitablly cosidered on the optimal bus operations plan. The model was solved by using fuzzy multiobjective programming method. At the same time, we bulid an interactive framework of decision making which the decision makers' aspiration level for each objective was cosidered in the model. The results of the model should be more suitable for the real process of decision making.
