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Title: | A hybrid fuzzy BWM-COPRAS method for analyzing key factors of sustainable architecture |
Authors: | Mahdiraji, Hannan Amoozad Arzaghi, Sepas Stauskis, Gintaras Zavadskas, Edmundas Kazimieras |
Keywords: | sustainable development sustainable architecture best-worst method (BWM) complex proportional assessment method (COPRAS) grey system fuzzy sets |
Issue Date: | 2018 |
Publisher: | MDPI AG |
Citation: | Mahdiraji, H. A.; Arzaghi, S.; Stauskis, G.; Zavadskas, E. K. 2018. A hybrid fuzzy BWM-COPRAS method for analyzing key factors of sustainable architecture, Sustainability 10(5): 1–26 |
Series/Report no.: | 10;5 |
Abstract: | Sustainable development by emphasizing on satisfying the current needs of the general
public without threating their futures, alongside with taking the environment and future generations
under consideration, has become one of the prominent issues in different societies. Therefore,
identifying and prioritizing the key factors of sustainable architecture according to regional and
cultural features could be the first step in sustaining the architecture as a process and an outcome.
In this paper, the key indicators of the environmental sustainability in contemporary architecture of
Iran has been identified and prioritized. This study has been performed in three phases. First,
identifying key factors of environmental sustainability according to the experts’ point of view
and transforming the collected data to triangular fuzzy numbers. Subsequently, the best-worst
multi-criteria decision-making method (henceforth BWM) under grey system circumstances has
determined the weights and priority of the identified criteria. Eventually, identified key factors were
prioritized by the complex proportional assessment method (hereafter COPRAS) under the condition
of fuzzy sets. The results indicate that the key factors of creating engagement between buildings and
other urban systems has the highest priority in the built environment sustainability in contemporary
architecture and proving building management systems has the lowest. |
URI: | http://dspace.vgtu.lt/handle/1/3641 |
ISSN: | 2071-1050 |
Appears in Collections: | Moksliniai straipsniai / Research articles
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