The logistic model for assessing human error probabilities using the SLIM method

Abstract The Success Likelihood Index Methodology is a simple and powerful tool for assessing human error probabilities. Its practical application requires a conversion equation linking the independent variable, i.e. the Success Likelihood Index, to the probability of success or failure. This paper criticizes the equations currently used and suggests the logistic model. This removes the limits of the previous ones, yields more significant results and has a consistent theoretical background.