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Building sustainability composite indicators using a multi-criteria approach

datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorXavier, António
dc.contributor.authorFragoso, Rui
dc.contributor.authorFerreira da Silva da Costa Freitas, Maria de Belém
dc.date.accessioned2026-03-17T11:20:22Z
dc.date.available2026-03-17T11:20:22Z
dc.date.issued2025-10
dc.description.abstractBuilding sustainability composite indicators is a complex process that has been addressed according to different strategies. One interesting approach is based on the compromise between the maximum aggregate solution and the most balanced solution, by considering the most displaced indicator regarding the ideal. However, some shortcomings were identified in this approach. First, several decision-making units may present an equal composite indicator, and hence the same position in the ranking, while corresponding to different sustainability situations. Second, the use of only the maximum deviation to define the most balanced solution requires a more integrated approach. Thus, this paper proposes a novel aggregation methodology for building sustainability composite indicators, where a new normalized entropy indicator for the most balanced solution is proposed and integrated with the sustainability criteria of the maximum aggregate solution and maximum deviation. The method proposed was applied to two illustrative examples from the literature and provided promising and robust results.eng
dc.identifier.doi10.1016/j.ejor.2025.04.024
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/10400.1/28442
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationCenter for Advanced Studies in Management and Economics
dc.relationMediterranean Institute for Agriculture, Environment and Development
dc.relationCHANGE - Global Change and Sustainability Institute
dc.relation.ispartofEuropean Journal of Operational Research
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSustainability
dc.subjectComposite indicators
dc.subjectMulti-criteria decision analysis
dc.subjectNormalized entropy
dc.titleBuilding sustainability composite indicators using a multi-criteria approacheng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04007/2020
oaire.awardNumberUIDB/05183/2020
oaire.awardNumberLA/P/0121/2020
oaire.awardTitleCenter for Advanced Studies in Management and Economics
oaire.awardTitleMediterranean Institute for Agriculture, Environment and Development
oaire.awardTitleCHANGE - Global Change and Sustainability Institute
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04007%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05183%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0121%2F2020/PT
oaire.citation.endPage342
oaire.citation.issue2
oaire.citation.startPage326
oaire.citation.titleEuropean Journal of Operational Research
oaire.citation.volume326
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFerreira da Silva da Costa Freitas
person.givenNameMaria de Belém
person.identifier.ciencia-idCF18-575C-BC6A
person.identifier.orcid0000-0001-7645-7099
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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