A novel integrated dependence assessment method for human reliability analysis under uncertainty and expert disagreement

Key Points

• The method enhances human reliability analysis under conditions of uncertainty and expert disagreement, leading to more precise assessments.
• Findings show that integrating different assessment approaches can reduce errors by up to 30%, improving decision-making.
• Observational analysis involving expert panels was conducted to identify key factors influencing human reliability under uncertainty.
• The study's implications suggest the need for standardized methods in evaluating human performance to enhance safety in critical systems.