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Cited by 386

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Multi-criteria evaluation model for the selection of sustainable materials for building projects

Open access
Akadiri, Peter O., Olomolaiye, Paul O., Chinyio, Ezekiel A.·2013·Automation in Construction

Abstract

Sustainable material selection represents an important strategy in building design. Current building materials selection methods fail to provide adequate solutions for two major issues: assessment based on sustainability principles, and the process of prioritizing and assigning weights to relevant assessment criteria. This paper proposes a building material selection model based on the fuzzy extended analytical hierarchy process (FEAHP) techniques, with a view to providing solutions for these two issues. Assessment criteria are identified based on sustainable triple bottom line (TBL) approach and the need of building stakeholders. A questionnaire survey of building experts is conducted to assess the relative importance of the criteria and aggregate them into six independent assessment factors. The FEAHP is used to prioritize and assign important weightings for the identified criteria. A numerical example, illustrating the implementation of the model is given. The proposed model provides guidance to building designers in selecting sustainable building materials.

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Crossref · 10.1016/j.autcon.2012.10.004

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Metadata

Authors
Akadiri, P. O., Olomolaiye, P. O., & Chinyio, E. A.
Venue
Automation in Construction
Publisher
Elsevier BV
Published
2013-03
Volume
30
Pages
113-125
ISSN
0926-5805 (ISSN-L)
OpenAlex
W2002748354
Cited by
386
References
38
FWCI
16.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multi-criteria evaluation model for the selection of sustainable materials for building projects. https://app.cochat.ai/papers/10.1016/j.autcon.2012.10.004
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Akadiri, P. O., Olomolaiye, P. O., & Chinyio, E. A. (2013). Multi-criteria evaluation model for the selection of sustainable materials for building projects. Automation in Construction. https://doi.org/10.1016/j.autcon.2012.10.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.