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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorLAGUNA SALVADO, Laura
ORCID: 0000-0002-6549-4393
IDREF: 238569616
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorVILLENEUVE, Eric
ORCID: 0000-0003-0273-2267
IDREF: 164630686
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorMASSON, Dimitri
ORCID: 0000-0002-7072-3146
IDREF: 202678229
dc.date.accessioned2023-04-21T13:15:17Z
dc.date.available2023-04-21T13:15:17Z
dc.date.issued2019-09-30
dc.date.conference2019-08-28
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/173152
dc.description.abstractEnDecision making in the context of Near Zero Energy Building refurbishment is subjected to heterogeneous stakeholders, tools and objectives. This paper presents a methodology to facilitate stakeholders collaboration in the refurbishment processes and identifies decision support approaches to help on the main decision milestones. This methodology is supported by a prototype (user interface and algorithm) of a decision support system (DSS) that allows ranking different refurbishment technologies. The proposed DSS uses a multi criteria decision method that combines weighting and fuzzy dominances approach. The approach is illustrated with a real data set to rank insulation materials.
dc.language.isoENen_US
dc.subject.enNear Zero Energy Building Refurbishment
dc.subject.enmulti criteria decision making
dc.subject.enalternatives ranking
dc.subject.enSustainable Decisions
dc.subject.enDecision Support System
dc.title.enDecision Making in Near Zero Energy Building Refurbishment: A Technology Alternatives Ranking Tool
dc.typeCommunication dans un congrès avec actesen_US
dc.identifier.doi10.1016/j.ifacol.2019.11.196en_US
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]en_US
dc.subject.halMathématiques [math]/Statistiques [math.ST]en_US
bordeaux.page313-318en_US
bordeaux.volume52en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.issue13en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.title9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019en_US
bordeaux.countrydeen_US
bordeaux.title.proceedingIFAC-PapersOnLine, Proceedings of the 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019 - Berlin, Germany, 28–30 August 2019en_US
bordeaux.conference.cityBerlinen_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-02362849
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
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