Water inrush events are highly likely to occur during tunnel construction, making it essential to study risk assessment methods for tunnel water inrush disasters and classify the risk levels. This paper considers static risk factors, primarily based on geological conditions, and dynamic risk factors during the construction period as evaluation indexes, and establishing an assessment system for the risk indexes of water inrush. A Fuzzy Analytic Hierarchy Process (FAHP) combined with an attribute interval detection method is proposed to analyze the attribute measures of these indexes. The principles of maximum membership and the confidence criterion are employed to assess the attributes, and determining the risk degree of water inrush in the tunnel. A case study is conducted to evaluate the risk of water inrush in the Xianglushan Tunnel of the Dianzhong Diversion Project and is compared with other methods. The results indicate that the assessment aligns with the actual excavation conditions, thereby confirming the validity of this approach. By incorporating dynamic assessment factors, the FAHP attribute interval identification method is employed to establish a water inrush assessment system that can serve as a reference for the dynamic risk assessment of water inrush damage in tunnel construction.