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Outil de classement de technologies pour l’aide à la décision en rénovation de bâtiments

Abstract : Decision 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 thermal insulation materials.
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https://hal.archives-ouvertes.fr/hal-02268562
Contributor : Éric Villeneuve Connect in order to contact the contributor
Submitted on : Wednesday, August 21, 2019 - 11:08:48 AM
Last modification on : Monday, September 20, 2021 - 10:36:11 AM
Long-term archiving on: : Friday, January 10, 2020 - 6:56:55 AM

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Laura Laguna Salvado, Eric Villeneuve, Dimitri Masson. Outil de classement de technologies pour l’aide à la décision en rénovation de bâtiments. CIGI QUALITA 2019 - 13th International Conference CIGI QUALITA, Jun 2019, Montréal, Québec, Canada. ⟨hal-02268562⟩

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