Evaluation of Ventilation System Alternatives for Sustainable Buildings with an It2 Fuzzy-Integrated Dematel-Anp and Fanp Methodology
SSRN, ISSN: 1556-5068
2024
- 125Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In the early 20th century, advancements in technology facilitated greater accessibility to data, thereby revealing the extent of human-induced harm to the ecosystem. The revelation of environmental resource depletion has led to a rise in international agreements, sanctions, and regulations as a precautionary measure. The notion of sustainable development has given rise to novel concepts, including eco-friendly, green, and smart buildings. The primary objectives of green buildings are to ensure safety, health, comfort, longevity, and cost-effectiveness for both occupants and the environment. In this paper, a novel integrated model is proposed by Interval Type-2 Fuzzy DEMATEL-ANP (DANP) - FANP for the evaluation of ventilation system alternatives for sustainable buildings. The ranking of the criteria was established using the DANP approach. Then, the FANP method was integrated into the DANP technique for the ranking of the alternatives. To implement pairwise comparison matrices of alternatives within sub-criteria using the DANP methodology, it is imperative to create a square matrix with the intention of producing a normalized direct relation matrix. The problem was solved through the utilization of the FANP methodology. Sensitivity analysis was performed in the last step to ascertain the method's sensitivity.
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