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Data normalisation techniques in decision making: case study with TOPSIS method

2018-01-01Artigo científico Acesso aberto
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dc.contributor.authorVafaei, Nazanin
dc.contributor.authorRibeiro, Rita A.
dc.contributor.authorCamarinha-Matos, Luis M.
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.pblInderscience
dc.date.accessioned2019-02-05T23:39:37Z
dc.date.available2019-02-05T23:39:37Z
dc.date.issued2018-01-01
dc.descriptionThis work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS.
dc.description.abstractData normalisation is essential for decision-making methods because data has to be numerical and comparable to be aggregated into a single score per alternative. In multi-criteria decision-making (MCDM), normalisation must convert criteria values into a common scale, thus, enabling rating and ranking of alternatives. Therefore, it is a challenge to select a suitable normalisation technique to represent an appropriate mapping from source data to a common scale. There are some attempts in the literature to address the subject of normalisation, but it is still an open question which technique is more appropriate for any MCDM method. Our research contribution is an assessment approach for evaluating normalisation techniques. Here, we focus on six well-known normalisation techniques and on TOPSIS method. The proposed assessment process provides a more robust evaluation and selection of the best normalisation technique for usage in TOPSIS.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent20
dc.format.extent282161
dc.identifier.doi10.1504/IJIDS.2018.090667
dc.identifier.issn1756-7017
dc.identifier.otherPURE: 4015287
dc.identifier.otherPURE UUID: 16c1bd25-caa9-42d3-b3f3-ab35c029f9c0
dc.identifier.otherScopus: 85045043070
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85045043070&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/85045043070
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147324/PT
dc.subjectConsistency
dc.subjectCorrelation
dc.subjectData fusion
dc.subjectDecision making
dc.subjectMCDM
dc.subjectMulti-criteria decision-making
dc.subjectNormalisation
dc.subjectTOPSIS
dc.subjectComputer Science Applications
dc.subjectStrategy and Management
dc.subjectInformation Systems and Management
dc.subjectManagement of Technology and Innovation
dc.titleData normalisation techniques in decision making: case study with TOPSIS methoden
dc.typejournal article
degois.publication.firstPage19
degois.publication.issue1
degois.publication.lastPage38
degois.publication.titleInternational Journal of Information and Decision Sciences
degois.publication.volume10
dspace.entity.typePublication
oaire.awardNumberUID/EEA/00066/2013
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00066%2F2013/PT
oaire.fundingStream5876
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublicationab1536c5-2fb3-40cb-9d02-72503b9872f1
relation.isProjectOfPublication.latestForDiscoveryab1536c5-2fb3-40cb-9d02-72503b9872f1

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