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

Detalhes bibliográficos
Autor(a) principal: Vafaei, Nazanin
Data de Publicação: 2018
Outros Autores: Ribeiro, Rita A., Camarinha-Matos, Luis M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
DOI: 10.1504/IJIDS.2018.090667
Texto Completo: https://doi.org/10.1504/IJIDS.2018.090667
Resumo: This work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS.
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spelling Data normalisation techniques in decision making: case study with TOPSIS methodConsistencyCorrelationData fusionDecision makingMCDMMulti-criteria decision-makingNormalisationTOPSISComputer Science ApplicationsStrategy and ManagementInformation Systems and ManagementManagement of Technology and InnovationThis work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS.Data 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.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasRUNVafaei, NazaninRibeiro, Rita A.Camarinha-Matos, Luis M.2019-02-05T23:39:37Z2018-01-012018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttps://doi.org/10.1504/IJIDS.2018.090667eng1756-7017PURE: 4015287http://www.scopus.com/inward/record.url?scp=85045043070&partnerID=8YFLogxKhttps://doi.org/10.1504/IJIDS.2018.090667info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:37:04Zoai:run.unl.pt:10362/59714Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:37:04Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Data normalisation techniques in decision making: case study with TOPSIS method
title Data normalisation techniques in decision making: case study with TOPSIS method
spellingShingle Data normalisation techniques in decision making: case study with TOPSIS method
Data normalisation techniques in decision making: case study with TOPSIS method
Vafaei, Nazanin
Consistency
Correlation
Data fusion
Decision making
MCDM
Multi-criteria decision-making
Normalisation
TOPSIS
Computer Science Applications
Strategy and Management
Information Systems and Management
Management of Technology and Innovation
Vafaei, Nazanin
Consistency
Correlation
Data fusion
Decision making
MCDM
Multi-criteria decision-making
Normalisation
TOPSIS
Computer Science Applications
Strategy and Management
Information Systems and Management
Management of Technology and Innovation
title_short Data normalisation techniques in decision making: case study with TOPSIS method
title_full Data normalisation techniques in decision making: case study with TOPSIS method
title_fullStr Data normalisation techniques in decision making: case study with TOPSIS method
Data normalisation techniques in decision making: case study with TOPSIS method
title_full_unstemmed Data normalisation techniques in decision making: case study with TOPSIS method
Data normalisation techniques in decision making: case study with TOPSIS method
title_sort Data normalisation techniques in decision making: case study with TOPSIS method
author Vafaei, Nazanin
author_facet Vafaei, Nazanin
Vafaei, Nazanin
Ribeiro, Rita A.
Camarinha-Matos, Luis M.
Ribeiro, Rita A.
Camarinha-Matos, Luis M.
author_role author
author2 Ribeiro, Rita A.
Camarinha-Matos, Luis M.
author2_role author
author
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
RUN
dc.contributor.author.fl_str_mv Vafaei, Nazanin
Ribeiro, Rita A.
Camarinha-Matos, Luis M.
dc.subject.por.fl_str_mv Consistency
Correlation
Data fusion
Decision making
MCDM
Multi-criteria decision-making
Normalisation
TOPSIS
Computer Science Applications
Strategy and Management
Information Systems and Management
Management of Technology and Innovation
topic Consistency
Correlation
Data fusion
Decision making
MCDM
Multi-criteria decision-making
Normalisation
TOPSIS
Computer Science Applications
Strategy and Management
Information Systems and Management
Management of Technology and Innovation
description This work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
2018-01-01T00:00:00Z
2019-02-05T23:39:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.1504/IJIDS.2018.090667
url https://doi.org/10.1504/IJIDS.2018.090667
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1756-7017
PURE: 4015287
http://www.scopus.com/inward/record.url?scp=85045043070&partnerID=8YFLogxK
https://doi.org/10.1504/IJIDS.2018.090667
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 20
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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dc.identifier.doi.none.fl_str_mv 10.1504/IJIDS.2018.090667

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