Risk assessment of deep excavation construction based on combined weighting and nonlinear FAHP

Deep excavation construction safety has become a challenging and crucial aspect of modern infrastructure engineering, its risk assessment is frequently carried out using the Fuzzy Analytic Hierarchy Process (FAHP). However, when FAHP to evaluate risks deep construction, results weightings obtained through subjective weighting are heavily influenced by factors evaluators. In addition, linear operators calculate level can easily cause weakening effect on influence prominent factors, resulting in poor rationality evaluation results. To address these problems, this paper constructs model based combined nonlinear FAHP. The WBS-RBS method used guide index system for construction. values objective calculated game theory method. fuzzy relation matrix constructed membership degree vector from expert Nonlinear introduced comprehensive calculation. According maximum principle, final obtained. newly applied analysis Rongmin Science Innovation Park project Xi’an. result N = [0.3125, 0.3229, 0.1939, 0.0854, 0.0854], according classified as Level 2, which relatively low risk. Based project, discusses differences between new traditional method, further verifies reliability model, optimizes plan results, avoids risks, determines guiding significance.