| Autor: |
Saviz Moghtadernejad, Luc E. Chouinard, M. Saeed Mirza |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Developments in the Built Environment, Vol 5, Iss , Pp 100038- (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2666-1659 |
| DOI: |
10.1016/j.dibe.2020.100038 |
| Popis: |
The selection of an optimal building façade system is a challenging process that can be facilitated by using decision-analysis methods. However, current commonly-used decision-analysis tools in civil engineering cannot deal with the interactions among multiple design criteria. The Choquet integral is the only well-known method capable of accounting for such interactions. However, the process of assigning the fuzzy measures (importance weights) for this method is complex, particularly when there is a large number of criteria be considered. This paper proposes two supervised methods to estimate these fuzzy measures. The first method estimates the relative importance weights by using a statistical approach based on Principal Component Analysis, while the second method is elicited from a machine learning algorithm using Neural Networks. These two methods are used in an illustrative example to find the fuzzy measures related to façade design with respect to four criteria; and their merits and limitations are discussed. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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