Rodyti trumpą aprašą

dc.contributor.authorKeshavarz Ghorabaee, Mehdi
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorTurskis, Zenonas
dc.contributor.authorAntuchevičienė, Jurgita
dc.date.accessioned2023-09-18T16:46:43Z
dc.date.available2023-09-18T16:46:43Z
dc.date.issued2016
dc.identifier.issn0424-267X
dc.identifier.other(BIS)VGT02-000032625
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116529
dc.description.abstractA key factor to attain success in any discipline, especially in a field which requires handling large amounts of information and knowledge, is decision making. Most real-world decision-making problems involve a great variety of factors and aspects that sho uld be considered. Making decisions in such environments can often be a difficult operation to perform. For this reason, we need multi-criteria decision-making (MCDM) methods and techniques, which can assist us for dealing with such complex problems. The a im of this paper is to present a new COmbinative Distance-based ASsessment (CODAS) method to handle MCDM problems. To determine the desirability of an alternative, this method uses the Euclidean distance as the primary and the Taxicab distance as the secon dary measure, and these distances are calculated according to the negative - ideal point. The alternative which has greater distances is more desirable in the CODAS method. Some numerical examples are used to illustrate the process of the proposed method. We also perform a comparative sensitivity analysis to examine the results of CODAS and compare it by some existing MCDM methods. These analyses show that the proposed method is efficient, and the results are stable.eng
dc.formatPDF
dc.format.extentp. 25-44
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://ecocyb.ase.ro/nr20163/02%20-%20Mehdi%20K.%20GHORABAEE,%20Ed.%20Zavadskas(T).pdf
dc.subjectFM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes
dc.titleA new COmbinative Distance-based ASsessment (CODAS) method for multi-criteria decision-making
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references35
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionAllameh Tabataba’i University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enmulti-criteria decision-making
dc.subject.enMCDM
dc.subject.enMADM
dc.subject.eneuclidean distance
dc.subject.entaxicab distance
dc.subject.enCODAS
dcterms.sourcetitleEconomic Computation and Economic Cybernetics Studies and Research (ECECSR)
dc.description.issueno. 3
dc.description.volumevol. 50
dc.publisher.nameAcademy of Economic Studies
dc.publisher.cityBucharest
dc.identifier.doi000384704600002
dc.identifier.doi2-s2.0-85011805829
dc.identifier.elaba18938574


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