Academic Journal of Engineering and Technology Science, 2026, 9(2); doi: 10.25236/AJETS.2026.090217.
Yucheng Liu1, Xinnuo Li2, Yilun Jiang1
1Aulin College, Northeast Forestry University, Harbin, 150040, Heilongjiang, China
2School of Civil Engineering and Transport, Northeast Forestry University, Harbin, 150040, Heilongjiang, China
To address the complexities, fuzziness, and dynamics of safety risks in civil engineering construction—along with the subjectivity, low accuracy, and difficulty in quantifying fuzzy indicators of traditional assessment methods—this study conducts an intelligent evaluation research based on the AHP-fuzzy algorithm. First, construction risks across the entire process are identified through literature research, expert interviews, and on-site investigations. Combining ISO 45001 standards, a three-tiered evaluation system is established, encompassing four criterion layers (personnel, equipment, environment, and management) and 14 core indicators. Screening and optimization are completed via expert scoring and Pearson correlation analysis. Second, an intelligent model is constructed by integrating AHP and the fuzzy algorithm. Indicator weights are determined and consistency tested through AHP, with deviations corrected using the entropy weight method. A trapezoidal membership function is developed via the fuzzy algorithm to quantify qualitative indicators, and risk levels are assessed using the weighted average method. A visualization system is implemented in Python. Finally, case studies demonstrate that the model's evaluation results align closely with on-site realities, with errors ≤5%, enabling precise risk point identification and providing a basis for safety management. This enriches relevant theoretical methods and holds significant theoretical and practical value.
Civil Engineering; Construction Safety Risks; Analytic Hierarchy Process; Fuzzy Algorithm
Yucheng Liu, Xinnuo Li, Yilun Jiang. Intelligent Assessment of Construction Safety Risks in Civil Engineering Based on AHP-Fuzzy Algorithm. Academic Journal of Engineering and Technology Science (2026), Vol. 9, Issue 2: 123-130. https://doi.org/10.25236/AJETS.2026.090217.
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