A drift-aware explainable artificial intelligence framework for dynamic construction risk governance using multi-domain fuzzy inference and Bayesian updating
Purpose Construction projects operate in highly dynamic environments where project risks evolve continuously as new information becomes available. Conventional risk assessment approaches are predominantly static and provide limited capability to adapt to temporal changes or generate transparent decision support. This s...