Overview
The invention relates to improving risk assessment analysis by the application of Bayesian Belief Networks for quantifying event sequence diagrams (hybrid casual models) and fault tree models.The quantification procedure was developed to quantify BDD/BBN configurations. However the procedure has more general applicability and can be applied to quantify Boolean models in which variables are dependent
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