Bayesian network with quantitative input for maritime risk analysis

摘要: This article presents an innovative approach towards integrating logistic regression and Bayesian networks (BNs) into maritime risk assessment. The has been developed applied to a case study in the industry, but potential for being adapted other industries. Various applications of BNs as modelling tool analysis have widely seen relevant literature. However, common criticism is that it requires too much information form prior probabilities, such often difficult, if not impossible, obtain traditional way estimate probability accident use expert estimation (inputs) measure uncertainty analysis. In order address inherited problems associated with subjective (expert estimation), this develops binary method providing input BN, making different acci...