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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Nature Portfolio
2025-01-01
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| 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. |
| format | Article |
| id | doaj-art-d43266f32f5f4e90809aaf68b8754f9c |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| 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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