DC FieldValueLanguage
dc.contributor.authorSpyridakos, Athanasios-
dc.contributor.authorTsotsolas, Nikos-
dc.contributor.authorVryzidis, Isaak-
dc.date.accessioned2024-04-01T10:27:33Z-
dc.date.available2024-04-01T10:27:33Z-
dc.date.issued2017-
dc.identifiergoogle_scholar-RYCK4TcAAAAJ:dhFuZR0502QC-
dc.identifier.isbn978-618-5255-02-2-
dc.identifier.otherRYCK4TcAAAAJ:dhFuZR0502QC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1699-
dc.description.abstractUTA methods concludes to the assessment of additive value preference models based on Decision Makers (DMs) global preferences expressed by rank ordering of a limited set of the alternative actions evaluated into a consistent family of criteria. An adaptation of UTA methods is presented in this research work which utilizes additional information concerning the global preferences of the DM. The strengths of preferences among the successive alternatives of the reference set, sorted by their ranking, are derived. The DM is asked to provide ranges of values [zmin, zmax], through visual techniques, expressing the degree he/she prefers an alternative action from the next one in the ranking. By this way n-1 ranges of indices concerning the strength of preferences among the successive alternatives of the n alternative actions of the reference set are embedded into the UTA methods. Adaptations of the linear program of UTA method leads to the estimation of a more robust additive value model corresponding to more rich representation of DM's preferences. The proposed adaptation of UTA methods can be used a priori during the initial expression of DM's global preferences or a posteriori in the frame of post optimality and robustness analysis, constituting a new feedback of UTA methods. The above approach is presented and evaluated through an illustration case study.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 6th International Symposium and 28th National Conference on Operational Research "OR in the digital era - ICT challenges"en_US
dc.sourceOR in the digital era-ICT challenges, 1, 0-
dc.subjectMulticriteria decision aiden_US
dc.subjectRobustness analysisen_US
dc.subjectDisaggregation aggregation approachen_US
dc.titleRobustness Improvement in UTA methods through the elicitation & exploitation of strength of preference informationen_US
dc.typeConference Paperen_US
dc.relation.conference6th International Symposium and 28th National Conference on Operational Research "OR in the digital era - ICT challenges", 8-10 June 2017, Thessaloniki, Greeceen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage1en_US
dc.identifier.epage6en_US
dc.linkhttp://eeee2017.uom.gr/HELORS_2017_Book_of_Proceedings.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-4173-3780-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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