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

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

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 separa...

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Main Authors: Lu Gan, Jiuping Xu
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/505890
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spelling doaj-bf74f8eb754b4737a0ec1a38484ff0f92020-11-25T01:06:27ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/505890505890Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic RiskLu Gan0Jiuping Xu1Urban and Rural Development College, Sichuan Agricultural University, Dujiangyan 611830, ChinaUncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610064, ChinaThis 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.http://dx.doi.org/10.1155/2014/505890
collection DOAJ
language English
format Article
sources DOAJ
author Lu Gan
Jiuping Xu
spellingShingle Lu Gan
Jiuping Xu
Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk
Abstract and Applied Analysis
author_facet Lu Gan
Jiuping Xu
author_sort Lu Gan
title Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk
title_short Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk
title_full Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk
title_fullStr Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk
title_full_unstemmed Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk
title_sort retrofitting transportation network using a fuzzy random multiobjective bilevel model to hedge against seismic risk
publisher Hindawi Limited
series Abstract and Applied Analysis
issn 1085-3375
1687-0409
publishDate 2014-01-01
description 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.
url http://dx.doi.org/10.1155/2014/505890
work_keys_str_mv AT lugan retrofittingtransportationnetworkusingafuzzyrandommultiobjectivebilevelmodeltohedgeagainstseismicrisk
AT jiupingxu retrofittingtransportationnetworkusingafuzzyrandommultiobjectivebilevelmodeltohedgeagainstseismicrisk
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