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dc.contributor.authorIslam, MD Mainulen_US
dc.contributor.authorMohamed, Sherifen_US
dc.date.accessioned2017-05-03T13:19:17Z
dc.date.available2017-05-03T13:19:17Z
dc.date.issued2009en_US
dc.identifier.issn07339364en_US
dc.identifier.doi10.1061/(ASCE)CO.1943-7862.0000032en_US
dc.identifier.urihttp://hdl.handle.net/10072/29260
dc.description.abstractThis paper portrays the development of a concession-investment optimization model for optimizing the winning potential of a concession-bid from the prospective promoters' viewpoints by taking into account imprecise investment parameters. A financial performance measure has been developed to quantify bid-winning potential. Fuzzy set theory is embedded into a genetic algorithm to optimize bid-winning prospects of concession schemes under uncertainty. The fuzzy vertex method accomplishes propagation of uncertainty in cash flows arising from imprecision in estimation of investment parameters. Genetic algorithm solves the optimization routine. The developed model yields global near-optimal solution of bid-winning potential with contributing values of concessionary items: concession length, base price, and equity level under uncertain investment environment. A numerical example demonstrates model capabilities. The model results would help promoters devise a profitable, yet competitive, financial proposal.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherAmerican Society of Civil Engineers (ASCE)en_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom690en_US
dc.relation.ispartofpageto700en_US
dc.relation.ispartofissue8en_US
dc.relation.ispartofjournalJournal of Construction Engineering and Managementen_US
dc.relation.ispartofvolume135en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchcode310202en_US
dc.titleBid-winning potential optimization for concession schemes with imprecise investment parametersen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2015-06-09T05:24:18Z
gro.hasfulltextNo Full Text


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