Construction safety risk analysis can provide the necessary insights for accident prevention. The fault tree analysis (FTA), as a conventional risk assessment tool, has gained widespread acceptance among practitioners in various industries. However, the analysis process, especially in construction settings, entails several difficulties owing to the constraint of sufficient data. To give a reliable approximation, the linguistic assessment and expert confidence index method are employed to convert the imprecise probability of occurrence of basic events into triangular fuzzy numbers. Owning to a large number of basic elements contributing to system failure in construction setting, the binary decision diagram (BDD), as a symbolic approach, is employed to overcome limitations of the algorithms based on the FTA in terms of both accuracy and efficiency. In the paper, the fuzzy Boolean algebras are utilized to determine the probability of the top event and the fuzzy importance measure (FIM) of the basic event. The approach proposed was verified using a scaffolding collapse case as an illustration. The paper offers some advantages of allowing to linguistic assessment for risk events, and also efficiently treating the risk analysis with the BDD method. The approach proposed can further construction safety practices as a fuzzy decision tool.
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