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

Author

Listed:
  • 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, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:505890
    DOI: 10.1155/2014/505890
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    References listed on IDEAS

    as
    1. Liming Yao & Jiuping Xu, 2013. "A Class of Expected Value Bilevel Programming Problems with Random Coefficients Based on Rough Approximation and Its Application to a Production-Inventory System," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-12, May.
    2. Xu, Jiuping & Yan, Fang & Li, Steven, 2011. "Vehicle routing optimization with soft time windows in a fuzzy random environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1075-1091.
    3. Liming Yao & Jiuping Xu, 2013. "A Class of Expected Value Bilevel Programming Problems with Random Coefficients Based on Rough Approximation and Its Application to a Production‐Inventory System," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    4. Özdamar, Linet & Demir, Onur, 2012. "A hierarchical clustering and routing procedure for large scale disaster relief logistics planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 591-602.
    Full references (including those not matched with items on IDEAS)

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