Analysis on the hidden cost of prefabricated buildings based on FISM-BN
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DOI: 10.1371/journal.pone.0252138
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- Huazan Liu & Yukang He & Qichao Hu & Jianfei Guo & Lan Luo, 2020. "Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-15, July.
- Yadegaridehkordi, Elaheh & Hourmand, Mehdi & Nilashi, Mehrbakhsh & Shuib, Liyana & Ahani, Ali & Ibrahim, Othman, 2018. "Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 199-210.
- Chee Kian Leong, 2016. "Credit Risk Scoring with Bayesian Network Models," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 423-446, March.
- Xiaoyan Jiang & Kun Lu & Bo Xia & Yong Liu & Caiyun Cui, 2019. "Identifying Significant Risks and Analyzing Risk Relationship for Construction PPP Projects in China Using Integrated FISM-MICMAC Approach," Sustainability, MDPI, vol. 11(19), pages 1-31, September.
- Shtub, Avraham & Zimerman, Yoav, 1993. "A neural-network-based approach for estimating the cost of assembly systems," International Journal of Production Economics, Elsevier, vol. 32(2), pages 189-207, September.
- Ehsan Lotfi & M. Darini & M. R. Karimi-T., 2016. "Cost estimation using ANFIS," The Engineering Economist, Taylor & Francis Journals, vol. 61(2), pages 144-154, April.
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- Mengwei Ye & Junwu Wang & Xiang Si & Shiman Zhao & Qiyun Huang, 2022. "Analysis on Dynamic Evolution of the Cost Risk of Prefabricated Building Based on DBN," Sustainability, MDPI, vol. 14(3), pages 1-19, February.
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