Fine-Kinney fuzzy-based occupational health risk assessment for Workers in different construction trades

This paper aims to enhance occupational health risk assessment for construction workers by introducing and validating two innovative models: the Occupational Health Risk Assessment Hierarchy Model (OHRAHM) and the Occupational Health Hazard Factor Risk Assessment Model (OHHFRAM). Utilizing the Fine-Kinney method (FKM), fuzzy sets, and the fuzzy inference system (FIS), these models provide a nuanced understanding of health risks in various construction trades. The models are demonstrated and validated in a specific region of China, including applying the FKM to different construction work types and evaluating occupational health across multiple trades. The principal results show the potential of OHRAHM and OHHFRAM in assessing risk magnitudes for various health factors, offering valuable insights for risk classification and proposing effective control measures. This paper addresses the need for improved health risk assessment models in the construction industry. • Introduced OHRAHM and OHHFRAM models for construction workers' health risk assessment. • Applied Fine-Kinney method, fuzzy sets, and fuzzy inference system for risk analysis. • Demonstrated models' effectiveness in assessing diverse health risks in trades. • Validated models in a case study within a specific region of China. • Provided insights for risk classification and effective control measures for workers.