Urban stormwater systems face escalating challenges due to climate change, aging infrastructure, and increasing impervious surfaces, necessitating holistic frameworks that integrate hydraulic, structural, and operational factors. This study proposes a fuzzy logic-based controller to evaluate the performance of stormwater drainage systems through three linguistic variables: Hydraulic Performance, Technical Condition, and Operational Condition. The model synthesizes expert knowledge into 125 inference rules, enabling a unified assessment of system reliability. Validated against empirical datasets from European and Chinese drainage networks, the framework demonstrates robust performance across diverse geospatial and operational contexts. Unlike traditional deterministic methods or single-criterion fuzzy systems, the controller addresses interdependencies between hydraulic efficiency, material degradation and external stressors. By translating multi-dimensional uncertainties into actionable maintenance priorities—from “Immediate Replacement” to “No Action Required”—the model enhances decision-making for utilities balancing flood resilience and infrastructure longevity.
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