Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/4138
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dc.contributor.authorMalinowska, A.B.pt
dc.contributor.authorTorres, D.F.M.pt
dc.date.accessioned2011-10-12T17:49:41Z-
dc.date.issued2008-
dc.identifier.issn0022-3239pt
dc.identifier.urihttp://hdl.handle.net/10773/4138-
dc.description.abstractThe question of obtaining well-defined criteria for multiple-criteria decision making problems is well known. One of the approaches dealing with this question is the concept of nonessential objective functions. A certain objective function is called nonessential if the set of efficient solutions is the same with or without that objective function. We present two methods for determining nonessential objective functions. A computational implementation is done using a computer algebra system. © 2008 Springer Science+Business Media, LLC.pt
dc.description.sponsorshipKBNpt
dc.description.sponsorshipS/WI/1/08pt
dc.description.sponsorshipCEOCpt
dc.description.sponsorshipFCTpt
dc.description.sponsorshipFEDER/POCI 2010pt
dc.language.isoengpt
dc.publisherSpringer Verlagpt
dc.relationdx.doi.org/10.1007/s10957-008-9397-zpt
dc.relation.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-55649093921&partnerID=40&md5=f166f14f8f3b9e53323c82893ed63077-
dc.rightsrestrictedAccesspor
dc.subjectEfficient (Pareto optimal) solutionspt
dc.subjectEssential/nonessential objective functionspt
dc.subjectMultiobjective optimization problemspt
dc.titleComputational approach to essential and nonessential objective functions in linear multicriteria optimizationpt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage577pt
degois.publication.issue3-
degois.publication.issue3pt
degois.publication.lastPage590pt
degois.publication.titleJournal of Optimization Theory and Applicationspt
degois.publication.volume139pt
dc.date.embargo10000-01-01-
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