A Quantitative Group Decision-Making Methodology for Structural Eco-Materials Selection Based on Qualitative Sustainability Attributes Al Shdifat, Majdi Jalón Ramírez, María Lourdes Puertas García, María Esther Chiachío Ruano, Juan Eco-materials Multiple criteria decision-making Probabilistic models In response to escalating global environmental challenges, developed countries have embarked on an ecological transition across a range of sectors. Among these, the construction industry plays a key role due to its extensive use of raw materials and energy resources. In particular, research into sustainable construction materials, here named eco-materials, has seen a boost in recent years because of their potential to replace less environmentally friendly materials such as concrete and steel. This paper proposes a large-scale group decision-making methodology to select among a set of candidate structural eco-materials based on sustainability considerations. The proposed approach is based on a novel quantitative SWOT analysis using survey data from a diverse group of experts, considering not only the technical aspects of the materials but also their impact in the context of the United Nations’ Sustainable Development Goals. As a result, a range of eco-materials are probabilistically assessed and ranked, taking into account the variability and uncertainty in the survey data. The results of this research demonstrate the suitability of the proposed methodology for eco-material selection based on sustainability criteria, but also provide a new generic methodology for group decision assessment considering the uncertainty in the survey data, which can be extended to multiple applications. 2024-04-03T10:08:17Z 2024-04-03T10:08:17Z 2023-11-14 info:eu-repo/semantics/article Al Shdifat, M.; Jalón, M.L.; Puertas, E.; Chiachío, J. A Quantitative Group Decision-Making Methodology for Structural Eco-Materials Selection Based on Qualitative Sustainability Attributes. Appl. Sci. 2023, 13, 12310. https://doi.org/10.3390/app132212310 https://hdl.handle.net/10481/90358 10.3390/app132212310 eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional MDPI