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Impact Evaluation of Prefabricated Buildings Cost on Game Theory‐Cloud Model

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  • Na Li
  • Zhifeng Fan

Abstract

Prefabricated buildings have the advantages of energy‐saving, high efficiency, and high quality, which is energetically promoted in China’s construction industry. But the prefabricated buildings’ high construction cost hinders their rapid development. Around the higher construction cost of prefabricated buildings, this paper starts with the full life cycle of prefabricated buildings and selects four stages: design, component production, transportation, and construction. And constructs the evaluation index system of influencing factors of the prefabricated buildings cost. Based on this, this paper proposes an evaluation framework based on the game theory‐cloud model to evaluate the influencing factors of prefabricated buildings costs. Taking a prefabricated building in Tianjin as the research object, the game theory combinatorial empowerment method and cloud model are used to evaluate the impact effect of prefabricated buildings cost. Game theory is used to optimize the subjective and objective weights determined by the attribute hierarchy model and the entropy weight method and to confirm the comprehensive weight of the evaluation index. The index’s weight is scientific and accurate, and the subjective influence of a single process is avoided or does not conform to the actual situation and so on. The cloud model is used to evaluate the cost impact of prefabricated buildings comprehensively. The experimental results show that the model is feasible; the scientific and accurate evaluation results are improved; and the model is simple to operate and has some reference value.

Suggested Citation

  • Na Li & Zhifeng Fan, 2022. "Impact Evaluation of Prefabricated Buildings Cost on Game Theory‐Cloud Model," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:3635009
    DOI: 10.1155/2022/3635009
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    References listed on IDEAS

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    1. 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.
    2. He Wang & Yinqi Zhang & Weijun Gao & Soichiro Kuroki, 2020. "Life Cycle Environmental and Cost Performance of Prefabricated Buildings," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    3. Ke Zhang & Jiin-Song Tsai, 2021. "Identification of Critical Factors Influencing Prefabricated Construction Quality and Their Mutual Relationship," Sustainability, MDPI, vol. 13(19), pages 1-21, October.
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