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dc.contributor.authorIslam, MD Mainulen_US
dc.contributor.authorMohamed, Sherifen_US
dc.contributor.editorSyed M. Ahmed, Salman Azhar, Sherif Mohameden_US
dc.date.accessioned2017-04-24T10:26:55Z
dc.date.available2017-04-24T10:26:55Z
dc.date.issued2007en_US
dc.date.modified2009-01-16T06:23:03Z
dc.identifier.refurihttp://www.fiu.edu/~citc/en_AU
dc.identifier.doihttp://www.fiu.edu/~citc/en_AU
dc.identifier.urihttp://hdl.handle.net/10072/18337
dc.description.abstractFinancial modeling for investments to build/operate/transfer (BOT)-type projects is essentially intricate. The complexity stems mainly from two folds: multi-party involvement and uncertainty. Promoters need a systematic means for objective evaluation of financial performance measures in order to examine whether a certain level of profit margin and an attractive financial proposal to clients, are possible. A clear research gap is perceived in simultaneous evaluation of profitability and bid-winning potential from the promoters' perspective. By using a combination of genetic algorithms and the fuzzy set theory, an intelligent algorithm, is developed for optimization of conflicting financial interests in deriving the right mix of three key decision variables: equity ratio, concession length, and base price. Fuzzy sets are used to explicitly incorporate uncertainty in estimating economic and financial parameters due to lack of available data. Genetic algorithms is used for solving corresponding fuzzy objective function coupled with multiple constraints. A case study from prevailing literature demonstrates the excellent capability of the developed model to produce optimal financial scenario under uncertainty.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent63885 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherFlorida International Universityen_US
dc.publisher.placeMiami, Floridaen_US
dc.publisher.urihttp://www.fiu.edu/~citc/citc4/index.htmen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameFourth International Conference on Construction in the 21st Century (CITC-IV)en_US
dc.relation.ispartofconferencetitleAccelerating Innovation in Engineering, Management and Technologyen_US
dc.relation.ispartofdatefrom2007-07-11en_US
dc.relation.ispartofdateto2007-07-13en_US
dc.relation.ispartoflocationGold Coasten_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode310202en_US
dc.titleGA-Fuzzy Financial Model For Optimization of A BOT Investment Decisionen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2007 CITC-IV, USA. The attached file is reproduced here in accordance with the copyright policy of the publisher. Use hypertext link for access to conference website.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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