Abstract
This paper presents a Fuzzy Analytical Hierarchy Process (FAHP) methodology for evaluating reinforced concrete bridges. Fuzzy algorithms, which can handle ambiguity similarly to human cognition, are well-suited for analyzing structural damage. We developed a hierarchical framework comprising 35 criteria and sub-criteria to guide the assessment process. The weights of these factors were determined using FAHP and expert judgment. By calculating the General Degradation Index (GDI), we evaluated the bridge’s overall condition. The Infrastructure Quality Assessment IQOA standard (image of the Quality of Engineering Structures scale) for civil engineering structures, which relies on visual inspection metrics, was employed to categorize the bridge based on its GDI score. When applied to the Oued Tlilet bridge, our methodology demonstrated its effectiveness in accurately assessing the bridge’s condition, aligning with independent expert assessments. This approach offers a robust and comprehensive method for bridge evaluation, combining the strengths of fuzzy logic with hierarchical analysis. The methodology provides a valuable tool for engineers and infrastructure managers to make informed decisions about bridge maintenance and rehabilitation.