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论文类型：期刊论文

发表时间：2013-01-01

发表刊物：International Journal of Innovative Computing, Information and Control

收录刊物：EI、Scopus

卷号：9

期号：8

页面范围：3293-3305

ISSN号：13494198

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. ? 2013 ICIC International.