Modeling and optimization in estimating and budgeting projects using gath and geva fuzzy clustering approach

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dc.contributor.authorMohamed, Bouabaz
dc.contributor.authorMouloud, Belachia
dc.contributor.authorBouzia, Boudjema
dc.date.accessioned2024-07-12T20:49:57Z
dc.date.available2024-07-12T20:49:57Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractIn this paper, a new modeling technique for estimating and budgeting project management is presented using a Gath and Geva fuzzy clustering approach. The Partition Coefficient (PC), the Dunn’s Index (DI) and the Alternative Dunn index (ADI) indices were used for validation of clusters number. The optimization of the number of clusters is significant for subsequent in modeling. However, cost estimates are to be used for bidding purposes; a poor estimation may have negative financial consequences. A cost over estimation bears the risk of making the firm uncompetitive and losing a customer, while underestimating the cost leads to winning a contract but incurring a financial loss. Furthermore, a precise knowledge of prospective resources utilization is critical for project management purposes when passing to the conceptual phase. The proposed model was tested on a set of twenty projects. Very accurate result was achieved, showing that, the clustering technique is more appropriate in modeling and financial budgeting of project management.en_US
dc.identifier.citationMohamed, B., Mouloud, B. ve Bouzid, B. (2009). Modeling and optimization in estimating and budgeting projects using gath and geva fuzzy clustering approach. Maltepe Üniversitesi. s. 124.en_US
dc.identifier.endpage125en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage124en_US
dc.identifier.urihttps://www.maltepe.edu.tr/Content/Media/CkEditor/03012019014112056-AbstractBookICMS2009Istanbul.pdf#page=331
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2260
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07587
dc.titleModeling and optimization in estimating and budgeting projects using gath and geva fuzzy clustering approachen_US
dc.typeConference Object
dspace.entity.typePublication

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