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dc.contributor.authorSimanavičienė, Rūta
dc.contributor.authorJakučionytė, Viktorija
dc.contributor.authorDeltuvienė, Dovilė
dc.date.accessioned2023-09-18T16:17:32Z
dc.date.available2023-09-18T16:17:32Z
dc.date.issued2022
dc.identifier.issn2255-8942
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112851
dc.description.abstractIn the most MADM (Multiple Attribute Decision Making) methods the attribute values are provided to transform into one dimension. This restructuring is carried out in accordance with appropriate normalization techniques. It has been observed that some MADM methods are used for different normalization techniques. In practical calculations it was noted, that using different normalization techniques in the same MADM method, different alternative priority lines, with the same data, are produced. The research object of this paper is the group of the normalization techniques that are used in the multiple attribute decision-making methods of TOPSIS and COPRAS. The aim of this paper is to analyze the normalization techniques that influence the ranking of alternatives and to find out which mentioned multiple attributes decision-making method is sensitive with respect to the normalization techniques.eng
dc.formatPDF
dc.format.extentp. 105-120
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEmerging Sources Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyOpen J-Gate
dc.relation.isreferencedbyVINITI
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.bjmc.lu.lv/
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:126440346/datastreams/MAIN/content
dc.titleSensitivity study of TOPSIS and COPRAS methods with respect to normalization techniques
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsArticles in Baltic Journal of Modern Computing are published under the terms of Creative Commons Attribution-ShareAlike 4.0 International license (CC-BY-SA).
dcterms.licenseCreative Commons – Attribution – ShareAlike – 4.0 International
dcterms.references21
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyKūrybinių industrijų fakultetas / Faculty of Creative Industries
dc.contributor.departmentProfesinės kalbos studijų centras / Professional Language Studies Centre
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.studydirectionA02 - Taikomoji matematika / Applied mathematics
dc.subject.studydirectionB04 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enmultiple attribute decision-making methods
dc.subject.ennormalization
dc.subject.enstatistical analysis
dc.subject.enmonotonic transformation
dc.subject.ensensitivity
dcterms.sourcetitleBaltic journal of modern computing
dc.description.issueiss. 2
dc.description.volumevol. 10
dc.publisher.nameLatvijas universitate
dc.publisher.cityRiga
dc.identifier.doi000821052300001
dc.identifier.doi10.22364/bjmc.2022.10.2.01
dc.identifier.elaba126440346


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