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Research Article | Open Access

Sustainability evaluation of green building construction based on a combination method of weighting and improved matter-element extension

Yuanlu Qiao( )Jingpeng WangYouguo Wang
School of Management Engineering, Qingdao University of Technology, Qingdao, 266000, China
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Abstract

In light of the pressing global challenges related to greenhouse gas emissions from the construction industry, current evaluation systems for green building construction sustainability remain limited, often overlooking sustainability domains. This study innovatively established an evaluation framework by exploring five critical domains: environmental sustainability, economic benefits, socio-cultural impacts, technological innovation, and health and well-being. Sixteen key evaluation indicators were identified using the Delphi method, with the novel inclusion of a carbon emission reduction target achievement indicator, thereby promoting the goal of carbon neutrality in green buildings. To determine a more reasonable weight distribution, this paper combined the fuzzy analytic hierarchy process (fuzzy AHP) with the entropy weight method. Additionally, the study employed a fuzzy matter-element method enhanced by genetic algorithms for precise evaluation of green building construction sustainability. The feasibility and effectiveness of the proposed model were validated through an empirical analysis of a green building project in Beijing. The results of this research provide innovative theoretical references and practical guidelines for green building construction sustainability evaluation.

CLC number: 62P30

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AIMS Mathematics
Pages 24418-24442

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Cite this article:
Qiao Y, Wang J, Wang Y. Sustainability evaluation of green building construction based on a combination method of weighting and improved matter-element extension. AIMS Mathematics, 2024, 9(9): 24418-24442. https://doi.org/10.3934/math.20241190

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Received: 04 July 2024
Revised: 07 August 2024
Accepted: 13 August 2024
Published: 15 September 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)