Outil de classement de technologies pour l&amp;#039;aide à la décision en rénovation de bâtiments

Laura Laguna Salvado; Eric Villeneuve; Dimitri Masson

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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References

Laguna Salvado, L., Villeneuve, E., & Masson, D. H. (2019, June). Outil de classement de technologies pour l’aide à la décision en rénovation de bâtiments. CIGI QUALITA 2019 - 13th International Conference CIGI QUALITA. https://hal.science/hal-02268562

Citation

BibTeX citation:

@inproceedings{lagunasalvado2019_OutilClassement,
  author = {Laguna Salvado, Laura and Villeneuve, Eric and Masson,
    Dimitri},
  title = {Outil de Classement de Technologies Pour l’aide à La Décision
    En Rénovation de Bâtiments},
  booktitle = {CIGI QUALITA 2019 - 13th International Conference CIGI
    QUALITA},
  date = {2019-06-01},
  url = {https://dhmmasson.github.io/publications/lagunasalvado2019_OutilClassement.html},
  langid = {en}
}

For attribution, please cite this work as:

Laguna Salvado, L., Villeneuve, E., & Masson, D. (2019, June 1). Outil de classement de technologies pour l’aide à la décision en rénovation de bâtiments . CIGI QUALITA 2019 - 13th International Conference CIGI QUALITA . https://dhmmasson.github.io/publications/lagunasalvado2019_OutilClassement.html