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 …

The study introduces a framework for forecasting and decision-making in multi-criteria
processes and proposes their application in the decarbonization of urban areas. Optimizing …

In this study, a comprehensive approach based on the Fuzzy Bayesian Network (FBN) was
presented to reduce completeness, modeling, and parameter uncertainties and to analyze …

The proton exchange membrane fuel cell (PEMFC) is one of the crucial power units of the
hydrogen vehicle. This work proposes a method based on the Noisy-OR gate Bayesian …

The global threat of deliberate attacks on chemical, process, and energy facilities
underscores the urgent need to enhance Security Vulnerability/Risk Assessment (SVA/SRA) …

In the natural gas gathering and transportation station, bolt-gasket-flange connection
(BGFC) is the main connection mode, but due to its large number, the micro-leakage may …

Water management infrastructures such as floodgates are critical and increasingly operated
by Industrial Control Systems (ICS). These systems are becoming more connected to the …

Emerging technologies such as the Internet of Things (IoT) and connected vehicles enable
urban roadway system more tightly integrated as a Cyber-Physical System (CPS) …

Losses of containment within the natural gas network, located in most populated areas,
could cause environmental damage, injuries, or even death. Accordingly, it is pivotal to …

Both intentional attacks and accidental technical failures can lead to abnormal behaviour in
components of industrial control systems. In our previous work, we developed a framework …