TOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theory

Abstract Prefabricated buildings have a series of advantages such as high efficiency, energy savings, and environmental protection, and are being strongly promoted by the Chinese government. However, due to the late start of prefabricated buildings in China, the installation process of prefabricated...

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Main Authors: Lixin Chang, Norhaiza Nordin, Shiwei Zhao, Xinhua Gu, Ye Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-85729-1
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author Lixin Chang
Norhaiza Nordin
Shiwei Zhao
Xinhua Gu
Ye Zhao
author_facet Lixin Chang
Norhaiza Nordin
Shiwei Zhao
Xinhua Gu
Ye Zhao
author_sort Lixin Chang
collection DOAJ
description Abstract Prefabricated buildings have a series of advantages such as high efficiency, energy savings, and environmental protection, and are being strongly promoted by the Chinese government. However, due to the late start of prefabricated buildings in China, the installation process of prefabricated components is relatively complex, leading to difficulties in quality and safety control. A novel evaluation methodology integrating the technique for order preference by similarity to ideal solution (TOPSIS) with prospect theory and interval-valued Pythagorean fuzzy numbers (IVPFNs) is proposed. Fully considering the subjective value perceptions of decision-makers when faced with losses and gains, a risk evaluation model is established based on different types of decision-makers. This model is then compared with the weight correction coefficient model from a balanced perspective to prevent bias caused by over-reliance on decision-makers’ subjective preferences. This study establishes an assessment index system for assembly construction risk, considering personnel, materials, machinery, management, and technology factors. By merging prospect theory with the TOPSIS method, the application of Pythagorean fuzzy numbers is refined, enhancing the group decision-making process for evaluating risks in prefabricated construction projects. On the other hand, the prospect theory approach can focus on the actual psychological state of managers during decision-making, addressing the research gap concerning the impact of managers’ psychological states on the evaluation process. The study identifies critical risk factors and suggests specific risk management strategies to improve the risk mitigation capabilities of construction entities, offering a structured approach to enhancing the efficiency and safety of prefabricated construction projects.
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institution Kabale University
issn 2045-2322
language English
publishDate 2025-01-01
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spelling doaj-art-d43266f32f5f4e90809aaf68b8754f9c2025-01-26T12:33:56ZengNature PortfolioScientific Reports2045-23222025-01-0115111810.1038/s41598-025-85729-1TOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theoryLixin Chang0Norhaiza Nordin1Shiwei Zhao2Xinhua Gu3Ye Zhao4Faculty of Engineering Science and Technology, Infrastructure University Kuala LumpurFaculty of Engineering Science and Technology, Infrastructure University Kuala LumpurInstitute of Architectural Engineering, Shanghai Zhongqiao Vocational and Technical UniversityInstitute of Architectural Engineering, Shanghai Zhongqiao Vocational and Technical UniversityInstitute of Architectural Engineering, Shanghai Zhongqiao Vocational and Technical UniversityAbstract Prefabricated buildings have a series of advantages such as high efficiency, energy savings, and environmental protection, and are being strongly promoted by the Chinese government. However, due to the late start of prefabricated buildings in China, the installation process of prefabricated components is relatively complex, leading to difficulties in quality and safety control. A novel evaluation methodology integrating the technique for order preference by similarity to ideal solution (TOPSIS) with prospect theory and interval-valued Pythagorean fuzzy numbers (IVPFNs) is proposed. Fully considering the subjective value perceptions of decision-makers when faced with losses and gains, a risk evaluation model is established based on different types of decision-makers. This model is then compared with the weight correction coefficient model from a balanced perspective to prevent bias caused by over-reliance on decision-makers’ subjective preferences. This study establishes an assessment index system for assembly construction risk, considering personnel, materials, machinery, management, and technology factors. By merging prospect theory with the TOPSIS method, the application of Pythagorean fuzzy numbers is refined, enhancing the group decision-making process for evaluating risks in prefabricated construction projects. On the other hand, the prospect theory approach can focus on the actual psychological state of managers during decision-making, addressing the research gap concerning the impact of managers’ psychological states on the evaluation process. The study identifies critical risk factors and suggests specific risk management strategies to improve the risk mitigation capabilities of construction entities, offering a structured approach to enhancing the efficiency and safety of prefabricated construction projects.https://doi.org/10.1038/s41598-025-85729-1Prefabricated constructionProspect theoryInterval-valued Pythagorean fuzzy numbersTOPSIS methodRisk analysis
spellingShingle Lixin Chang
Norhaiza Nordin
Shiwei Zhao
Xinhua Gu
Ye Zhao
TOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theory
Scientific Reports
Prefabricated construction
Prospect theory
Interval-valued Pythagorean fuzzy numbers
TOPSIS method
Risk analysis
title TOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theory
title_full TOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theory
title_fullStr TOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theory
title_full_unstemmed TOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theory
title_short TOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theory
title_sort topsis prefabricated building construction evaluation based on interval valued pythagorean fuzzy numbers based on prospect theory
topic Prefabricated construction
Prospect theory
Interval-valued Pythagorean fuzzy numbers
TOPSIS method
Risk analysis
url https://doi.org/10.1038/s41598-025-85729-1
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AT shiweizhao topsisprefabricatedbuildingconstructionevaluationbasedonintervalvaluedpythagoreanfuzzynumbersbasedonprospecttheory
AT xinhuagu topsisprefabricatedbuildingconstructionevaluationbasedonintervalvaluedpythagoreanfuzzynumbersbasedonprospecttheory
AT yezhao topsisprefabricatedbuildingconstructionevaluationbasedonintervalvaluedpythagoreanfuzzynumbersbasedonprospecttheory