Safety and Security of Process Plants: A Fuzzy-Based Bayesian Network Approach

摘要: Chemical process industries handling hazardous chemicals are potential targets for deliberate actions by criminals and disgruntled employees. It is therefore imperative to have efficient risk management programs identify prospective threats develop suitable mitigation strategy. In this study, a probabilistic security assessment approach based on dedicated Bayesian networks presented. capable of capturing interdependencies between different factors involved in site found be very effective performing analysis even conditions uncertainty due unavailable data making use expert opinion. The human subjectivity associated with judgment overcome incorporating concepts fuzzy logic. effectiveness demonstrated an illustrative case study. site-specific network developed the study analyzing status facility performance systems installed.