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A soft computing framework to support consumers in obtaining sustainable appliances from the market

2020-05-01Journal article Open access
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dc.contributor.authorSantos, Ricardo
dc.contributor.authorAbreu, António
dc.contributor.authorSoares, José
dc.contributor.authorMendes, Fernanda
dc.contributor.authorCalado, João Manuel Ferreira
dc.date.accessioned2020-05-05T17:22:52Z
dc.date.available2020-05-05T17:22:52Z
dc.date.issued2020-05-01
dc.description.abstractCurrently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer’s decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance’s industry.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSANTOS, Ricardo; [et al] – A A soft computing framework to support consumers in obtaining sustainable appliances from the market. Applied Sciences. ISSN 2076-3417. Vol. 10, N.º 9 (2020), pp. 1-24pt_PT
dc.identifier.doi10.3390/app10093206pt_PT
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10400.21/11588
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.subjectSustainabilitypt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectCyberphysical systempt_PT
dc.subjectDecision support systemspt_PT
dc.subjectLifecycle cost analysis (LCCA)pt_PT
dc.subjectMulti-attribute value theory (MAVT)pt_PT
dc.subjectMulti-objective optimizationpt_PT
dc.subjectSoft computingpt_PT
dc.subjectEvolutionary algorithmpt_PT
dc.titleA soft computing framework to support consumers in obtaining sustainable appliances from the marketpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage24pt_PT
oaire.citation.issue9pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleApplied Sciencespt_PT
oaire.citation.volume10pt_PT
person.familyNameSantos
person.familyNameAbreu
person.familyNameCalado
person.givenNameRicardo
person.givenNameAntónio
person.givenNameJoão
person.identifier1829666
person.identifier370725
person.identifier.ciencia-idC213-A238-5F53
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.ciencia-idB518-93E3-E7AB
person.identifier.orcid0000-0001-5703-8139
person.identifier.orcid0000-0001-8839-5606
person.identifier.orcid0000-0001-6628-4657
person.identifier.ridM-9354-2018
person.identifier.ridD-3964-2014
person.identifier.ridM-4167-2013
person.identifier.scopus-author-id57218315486
person.identifier.scopus-author-id7006897277
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9312aee8-32f1-4907-966d-be2dc485f975
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication602b1546-f4f1-4cd5-8d29-d835d54c9bd6
relation.isAuthorOfPublication.latestForDiscovery602b1546-f4f1-4cd5-8d29-d835d54c9bd6

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