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首页> 外文期刊>International Journal of Innovative Computing Information and Control >SCENARIO-BASED PATH SELECTION IN UNCERTAIN EMERGENCY TRANSPORTATION NETWORKS
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SCENARIO-BASED PATH SELECTION IN UNCERTAIN EMERGENCY TRANSPORTATION NETWORKS

机译：不确定的紧急运输网络中基于场景的路径选择

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摘要

The transportation networks often become uncertain due to the occurrence and development of disasters. In order to select proper paths under uncertain information, we propose a novel scenario-based approach for emergency path selection. The scenario factors are firstly analyzed and combined to describe the uncertainty of each path section between two adjacent intersections in emergency transportation networks. Then, according to the fuzzy properties of path sections, the membership transformation algorithm M(1,2,3) is applied in fuzzy evaluation on the scenarios of path sections, which can determine the satisfaction degrees of each path section. Combining the highest satisfaction of each section under various scenarios, an optimal multi-attribute vector is constructed to build the scenario-based optimization model for emergency path selection. Finally, a numerical example is shown to illustrate the solution of this approach, whose results show that this approach can produce the paths with maximized overall satisfaction degree in a given confidence and that the satisfaction degree will increase as the given confidence decreases.
机译：由于灾害的发生和发展，运输网络常常变得不确定。为了在不确定的信息下选择合适的路径，我们提出了一种基于场景的新型应急路径选择方法。首先对情景因素进行分析和组合，以描述紧急交通网络中两个相邻交叉口之间每个路径段的不确定性。然后，根据路径部分的模糊性质，将隶属度变换算法M（1,2,3）应用于路径部分场景的模糊评价，从而确定各个路径部分的满意度。结合各个场景下各部分的最高满意度，构建了最优的多属性向量，建立了基于场景的应急路径选择优化模型。最后，给出了一个数值示例来说明该方法的解决方案，其结果表明，该方法可以在给定的置信度下生成具有最大总体满意度的路径，并且随着给定的置信度降低，满意度将增加。

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