An application of clustering R&D projects by using the analytic hierarchy process

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buir.advisorGürler, Ülkü
dc.contributor.authorTunç, Mehmet
dc.date.accessioned2016-07-01T11:00:23Z
dc.date.available2016-07-01T11:00:23Z
dc.date.issued2004
dc.departmentDepartment of Industrial Engineeringen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractDue to imprecision or uncertainty that is inherent in the design process, the management of research and development projects is very challenging. With the growing complexity of the design process and need for different specializations, it is getting even more tougher. Especially, in an organization where tens of hightech, military R&D projects are carried out concurrently, management should be supported with the state-of-the-art decision and operations research methods. In this thesis, we consider an application of the classification of R&D projects. More specifically, the problem discussed in this study is grouping N different projects into groups based on a predetermined set of features. Since some features are fuzzy, expert knowledge is needed to quantify the features. In order to quantify the features successfully, Analytic Hierarchy Process is used. Finally, by using various clustering algorithms the projects are clustered.en_US
dc.description.degreeM.S.en_US
dc.description.provenanceMade available in DSpace on 2016-07-01T11:00:23Z (GMT). No. of bitstreams: 1 0002552.pdf: 802758 bytes, checksum: f2d84898923615738fd9ced39287e1fd (MD5) Previous issue date: 2004en
dc.description.statementofresponsibilityTunç, Mehmeten_US
dc.format.extentxiii, 83 leavesen_US
dc.identifier.itemidBILKUTUPB083136
dc.identifier.urihttp://hdl.handle.net/11693/29489
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnalytic Hierarchy Processen_US
dc.subjectproject evaluationen_US
dc.subjectmulticriteria clusteringen_US
dc.subjectquantificationen_US
dc.subjectclustering projectsen_US
dc.subject.lccHD30.23 .T86 2004en_US
dc.subject.lcshDecision-making Mathematical models.en_US
dc.titleAn application of clustering R&D projects by using the analytic hierarchy processen_US
dc.typeThesisen_US

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