Citation :

Atep Maskur, Sri Kusumadewi, Setya Winarno, Elisa Kusrini, "Damage Risk Assessment of Lightweight Steel Roof Trusses using a Mamdani Fuzzy Inference System," International Journal of Civil Engineering, vol. 13, no. 6, pp. 36-48, 2026. Crossref, https://doi.org/10.14445/23488352/IJCE-V13I6P103

Abstract

Assessing the damage risk of Lightweight Steel Roof Trusses (LSRT) is essential for disaster prevention and structural safety, especially given their vulnerability to structural and degradation factors. This study aims to develop a Mamdani Fuzzy Inference System (FIS) model for assessing the damage risk of LSRT amidst the uncertainties and nonlinearity intrinsic to the system. The methodology involves establishing fuzzy variables, such as technical structural factors, loading conditions, and degradation states, as well as developing membership functions and linguistic rules. It uses the Min implication, Max aggregation, and Centroid defuzzification for inferring a measurable level of risk. The experimental results show that the FIS model performance demonstrates high efficacy, with a sensitivity and precision of 90.00% each and an overall accuracy of 88.57%. The FIS model has a Mean Absolute Percentage Error (MAPE) of 15.13%, a Root Mean Square Error (RMSE) of 8.92, and a Relative RMSE of 16.42%. The MAPE presents "good" predictive performance, and the Relative RMSE is in a "sufficient" range. These results demonstrate that the FIS model serves as a highly effective initial screening tool for identifying truss risk levels, especially for civil engineers. However, it may need to be improved for high-precision mitigation strategies.

Keywords

Damage risk assessment, Lightweight Steel Roof Trusses, Mamdani Fuzzy Inference System, Predictive accuracy metrics, Uncertainty Modeling.

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