According to the survey results,the most important factors influencing travelers' choices on scenic spots including the type of the landscapes,hard index and so on were determined.A comprehensive model based on the expected value of the trave-ler was proposed to evaluate the optimal route planning.Taking these factors as uncertainty attributes,the gray entropy theory was used to evaluate the performance of scenic spots and calculate its equilibrium degree with the ideal situation.The result was combined into the shortest path algorithm of the Dijkstra.The optimal route planning was concluded.A simulation example indicates that the model improves the effectiveness and accuracy of the performance evaluation of scenic spots route planning.It is not only simplifies the calculation,but also gives good results.%结合调查分析结果,确定旅行者取舍景点的主要影响因素,包括景点类型、辛苦指数等.建立较为完备的基于旅行者期望值的最优路线规划模型,将灰熵评价法引入模型,将各影响因素视为不确定型决策的多项属性,对景点各评价指标进行分析,计算与理想情况的均衡接近度.应用Dijkstra算法于均衡接近度高的结果,确定最优旅游线路.仿真结果表明,该模型客观准确,计算量小,取得了良好的预期成果.
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