Chapter
Jan 24, 2013
Selecting the Maximum Satisfaction Factor Path in Fuzzy Matter-Element Based Emergency Logistics
Authors: Shoushuai Zhang [email protected], Haifeng Yan [email protected], Hua Zhao [email protected], and Shuying Cheng [email protected]Author Affiliations
Publication: ICLEM 2012: Logistics for Sustained Economic Development—Technology and Management for Efficiency
Abstract
Choice of emergency logistics route in the event of a sudden natural disaster is a multi-objective evaluation problem. It is difficult to realize accurately because of strong uncertainty and fuzziness, but it is easy to express as Symmetric Triangular Fuzzy Number (STFN). STFN are gained through fuzzy matter-element comprehensive evaluation on the main influence factors of road network's sections. Considering the problem of finding a path which the retrieve vehicle can reach the destination from the start node in a given deadline with the maximum satisfaction factor, an algorithm is proposed to solve this problem by using the shortest path approach repeatedly. Hence quantitative gist for decision of emergency logistics route was provided.
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ICLEM 2012: Logistics for Sustained Economic Development—Technology and Management for Efficiency
Pages: 906 - 911
Copyright
© 2012 American Society of Civil Engineers.
History
Published online: Jan 24, 2013
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Affiliations
School of Transportation and Logistics, Southwest Jiao Tong University, China. E-mail: [email protected]
Associate Professor, School of Transportation and Logistics, Southwest Jiao Tong University, China. E-mail: [email protected]
School of Transportation and Logistics, Southwest Jiao Tong University, China. E-mail: [email protected]
School of Transportation and Logistics, Southwest Jiao Tong University, China. E-mail: [email protected]
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