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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
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorABI AKLE, Audrey
ORCID: 0000-0003-2998-5862
IDREF: 189052856
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorBUR, Nicolas
dc.date.accessioned2023-04-04T08:55:46Z
dc.date.available2023-04-04T08:55:46Z
dc.date.issued2022-03-15
dc.identifier.issn0360-1323en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172707
dc.description.abstractEnRefurbishing existing building into Near Zero Energy Building (NZEB) is a key objective for the European Union. In order to achieve high rate of conversion, new refurbishment process must allow Decision Makers (DMs) (architects or designers) to sort through an ever increasing list of new technologies while taking into account uncertain preferences from multiple stakeholders. A Decision Support System (DSS) based on Multi-Criteria Decision-Making (MCDM) approaches is proposed. The DSS enables the DMs to browse the solutions space by selecting the relevant criteria, order them by preferences and specify the granularity in the assessment of the technologies regarding each criteria. This DSS is based on a ranking algorithm that operates on multiple types of quantitative (continuous, discrete, or binary) and qualitative (nominative or ordinal) variables from technological and human sources. An online user interface allows the real-time exploration of the solution space. A sensitivity analysis of the algorithm is conducted to expose the influence of the ranking algorithm parameters and to demonstrate the robustness of this algorithm. The proposed DSS is eventually implemented and validated through a use case concerning the choice of insulating materials considering heterogeneous criteria that model sustainable constraints.
dc.language.isoENen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/
dc.subject.enDecision Support System (DSS)
dc.subject.enMulti-Criteria Decision-Making(MCDM)
dc.subject.enDynamic User Interface (UI)
dc.subject.enSensitivity analysis
dc.subject.enDecision under uncertainty
dc.title.enDecision Support System for technology selection based on multi-criteria ranking: Application to NZEB refurbishment
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.buildenv.2022.108786en_US
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]en_US
dc.subject.halMathématiques [math]/Statistiques [math.ST]en_US
dc.description.sponsorshipEuropeREfurbishment decision making platform through advanced technologies for near Zero energy BUILDing renovationen_US
bordeaux.journalBuilding and Environmenten_US
bordeaux.volume212en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03552184
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Building%20and%20Environment&rft.date=2022-03-15&rft.volume=212&rft.eissn=0360-1323&rft.issn=0360-1323&rft.au=LAGUNA%20SALVADO,%20Laura&VILLENEUVE,%20Eric&MASSON,%20Dimitri&ABI%20AKLE,%20Audrey&BUR,%20Nicolas&rft.genre=article


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