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dc.contributor.authorAouadni, Sourour
dc.contributor.authorRebai, Abdelwaheb
dc.contributor.authorTurskis, Zenonas
dc.date.accessioned2023-09-18T17:00:59Z
dc.date.available2023-09-18T17:00:59Z
dc.date.issued2017
dc.identifier.issn1220-1766
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/118954
dc.description.abstractThe TOPSIS method suffers from two major shortcomings (1) the non-meaningfulness of the resulting rankings in mixed data contexts (i.e., the rankings of alternatives may change under admissible transformations of the initial attribute values, in the measurement-theoretic sense of the term), and (2) rank reversals or ranking irregularities(i.e., the rankings of alternatives may change if a new alternative is added to the given offered set of alternatives or an old one is deleted from it or replaced in it). The present research tackles the above shortcomings in order to improve the TOPSIS method by suggesting novel reference points and by extending it to mixed data in a rather defensible manner. Finally, the suggested TOPSIS method (referred to herein as the meaningful mixed data TOPSIS method (TOPSIS-MMD)) is used to solve a mixed data multi-attribute supplier selection problem.eng
dc.formatPDF
dc.format.extentp. 353-363
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyINSPEC
dc.source.urihttps://doi.org/10.24846/v26i3y201711
dc.subjectAE02 - Efektyvios išteklių ir energijos naudojimo sistemos bei technologijos / Efficient use of resources, energy systems and technologies
dc.titleThe meaningful mixed data TOPSIS (TOPSIS-MMD) method and its application in supplier selection
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references39
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionLaboratory of Modeling and Optimization for Decisional, Industrial and Logistic Systems
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enMCDM
dc.subject.enTOPSIS-MMD
dc.subject.enNormalisation
dc.subject.enAdmissible transformation
dc.subject.enNon-meaningfulness
dc.subject.enMixed data
dc.subject.enRank reversal
dcterms.sourcetitleStudies in informatics and control
dc.description.issueiss. 3
dc.description.volumevol. 26
dc.publisher.nameNational Institute for Research & Development in Informatics
dc.publisher.cityBucharest
dc.identifier.doi000412715700011
dc.identifier.doi2-s2.0-85030638477
dc.identifier.doi10.24846/v26i3y201711
dc.identifier.elaba24507583


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