A fuzzy risk assessment model for adoption of offsite constructions in China

Purpose This study aims to develop a fuzzy risk assessment model tailored to the adoption of offsite construction (OSC) in China, addressing the complexities and uncertainties associated with risk management in the construction sector. The model evaluates key risk factors, integrates expert opinions, and employs fuzzy decision-making techniques to improve the decision-making process. Design/methodology/approach The research combines Interval-Valued Intuitionistic Fuzzy (IVIF)-DEMATEL with the Choquet Integral and IF-TOPSIS to assess and rank adoption risk factors (ARFs) in OSC. The Delphi method is employed for identifying potential risks, while the fuzzy approach accommodates the imprecision and subjectivity inherent in expert opinions. The IVIF-DEMATEL and IF-TOPSIS methods are integrated to assess relationships between risks and prioritize them accordingly. Findings The study reveals key ARFs impacting OSC adoption in China and identifies interdependencies among these factors. The proposed model outperforms existing approaches by providing more reliable risk evaluations, particularly in managing supply chain, logistics, quality control, and regulatory compliance risks. The case study emphasizes the robustness and flexibility of the model. Originality/value This research contributes to the field by introducing a novel fuzzy risk assessment model for OSC adoption, emphasizing the integration of expert opinions and the interconnection of adoption risks. It provides a comprehensive framework for better decision-making and risk management in the construction industry, offering insights into overcoming barriers to OSC in China.