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

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  • Lu Gan
  • Jiuping Xu

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.

Suggested Citation

  • Lu Gan & Jiuping Xu, 2014. "Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-24, January.
    • Handle: RePEc:hin:jnlaaa:505890
    DOI: 10.1155/2014/505890
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