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Extensions of the PROMETHEE method to deal with segmentation constraints application in a students' selection problem

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dc.contributor.author Mavrotas, G en
dc.contributor.author Rozakis, S en
dc.date.accessioned 2014-03-01T01:58:41Z
dc.date.available 2014-03-01T01:58:41Z
dc.date.issued 2009 en
dc.identifier.issn 12460125 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/28703
dc.subject Multicriteria en
dc.subject Multiobjective programming en
dc.subject PROMETHEE en
dc.subject Student selection en
dc.subject.other Decision process en
dc.subject.other Group Decision Making en
dc.subject.other Integer programming problems en
dc.subject.other Multi-criteria en
dc.subject.other Multi-criteria method en
dc.subject.other Multiobjective programming en
dc.subject.other Pareto optimal solutions en
dc.subject.other Postgraduate programs en
dc.subject.other PROMETHEE en
dc.subject.other Promethee method en
dc.subject.other Selection problems en
dc.subject.other Decision making en
dc.subject.other Multiobjective optimization en
dc.subject.other Students en
dc.subject.other Integer programming en
dc.title Extensions of the PROMETHEE method to deal with segmentation constraints application in a students' selection problem en
heal.type journalArticle en
heal.identifier.primary 10.3166/jds.18.203-229 en
heal.identifier.secondary http://dx.doi.org/10.3166/jds.18.203-229 en
heal.publicationDate 2009 en
heal.abstract The aim of the present paper is to propose a novel version of the well known multicriteria method PROMETHEE that deals with segmentation constraints and is also suitable for group decision making. The motivation for the development of the method was a real case study concerning the selection of students for a postgraduate program. The proposed method, named PROMETHEE V2, is based on the principles of PROMETHEE V but uses the results of PROMETHEE I (instead of PROMETHEE II) and exploits the information provided by the leaving and entering flows in order to formulate a bi-objective Integer Programming problem. The solution of the latter produces the Pareto optimal solutions which are usually more than one. Due to its structure, the whole decision process is especially suitable for group decision making. © 2009 Lavoisier, Paris. en
heal.journalName Journal of Decision Systems en
dc.identifier.doi 10.3166/jds.18.203-229 en
dc.identifier.volume 18 en
dc.identifier.issue 2 en
dc.identifier.spage 203 en
dc.identifier.epage 229 en


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