Abstract Discrete Bayesian Belief Network (BBN) has become a popular method for the
analysis of complex systems in various domains of application. One of its pillar is the …

Supplier selection is an important strategic decision in the context of supply chain
management. Existing literature on the subject of supplier selection is focused on evaluating …

Ports are an integral part of the transportation system and are often susceptible to a diverse
range of risks, including natural disasters, malicious cyber-attacks, technological factors …

Drilling into offshore oil and gas fields often meets many challenges and uncertainties, such
as a narrow window of drilling fluid density and shallow gas zones. Managed pressure …

The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in
dependability and risk analysis is a recent development. A large number of scientific …

Securing critical infrastructures is a complex task. Required information is usually scarce or
inexistent, and experts' judgments may be inaccurate and biased. In this paper, two …

To improve the chance of success of a public-private partnership (PPP) scheme, it is
essential to consider the feasibility of the scheme both from the economical and …

Risk analysis of offshore wells decommissioning, and abandonment processes is
challenging due to limited life-cycle information of the well, and failure data of safety barriers …

An imprecise Bayesian nonparametric approach to system reliability with multiple types of
components is developed. This allows modelling partial or imperfect prior knowledge on …

Online AI symptom checkers and diagnostic assistants (DAs) have tremendous potential to
reduce misdiagnosis and cost, while increasing the quality, convenience, and availability of …