Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk

Lu Gan and Jiuping Xu

Abstract and Applied Analysis, 2014, vol. 2014, 1-24

Abstract:

This paper focuses on the problem of hedging against seismic risk through the retrofit of transportation systems in large-scale construction projects (LSCP). A fuzzy random multiobjective bilevel programming model is formulated with the objectives of the retrofit costs and the benefits on two separate levels. After establishing the model, a fuzzy random variable transformation approach and fuzzy variable approximation decomposition are used to deal with the uncertainty. An approximation decomposition-based multi-objective AGLNPSO is developed to solve the model. The results of a case study validate the efficiency of the proposed approach.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:505890

DOI: 10.1155/2014/505890

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