How to account artificial intelligence in human factor analysis of complex systems?

E Zarei, F Khan, R Abbassi - Process safety and environmental protection, 2023 - Elsevier
Human factors analysis (HFA) has been explored from various aspects (eg, engineering,
psychology, physiology, and ergonomics). Numerous conventional techniques have been …

Uncertainties in conditional probability tables of discrete Bayesian Belief Networks: A comprehensive review

J Rohmer - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
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 …

Microbiologically influenced corrosion (MIC) management using Bayesian inference

M Yazdi, F Khan, R Abbassi - Ocean Engineering, 2021 - Elsevier
Microbiologically influenced corrosion (MIC) is a complex phenomenon that occurs when a
microbial community is involved in the degradation of an asset (eg pipelines). It is widely …

A data-driven Bayesian network model integrating physical knowledge for prioritization of risk influencing factors

H Meng, X An, J Xing - Process Safety and Environmental Protection, 2022 - Elsevier
The coupling of multiple factors stemming from propagation effects and interdependency
relationships among risks is prone to generate major accidents. It is of necessity to develop …

Probabilistic assessment aimed at the evaluation of escalating scenarios in process facilities combining safety and security barriers

VC Moreno, G Marroni, G Landucci - Reliability Engineering & System …, 2022 - Elsevier
Over the last twenty years, physical security threats to chemical and process facilities
became more and more relevant all around the world. Intentional attacks have the potential …

[HTML][HTML] System safety assessment under epistemic uncertainty: using imprecise probabilities in Bayesian network

N Khakzad - Safety science, 2019 - Elsevier
Abstract System safety and reliability assessment relies on historical data and experts
opinion for estimating the required failure probabilities. When data comes from different …

Integration of individual encounter information into causation probability modelling of ship collision accidents

P Chen, J Mou, P Van Gelder - Safety Science, 2019 - Elsevier
Maritime accidents, especially ship collisions, have always been a threat to the safety of
maritime transport industry, the regional and global economy, and societies, due to its dire …

Matrix operations in random permutation set

W Yang, Y Deng - Information Sciences, 2023 - Elsevier
In DS evidence theory, belief and commonality functions are well-defined and deeply
researched. However, these concepts have not been extended to Random Permutation Set …

Explaining the impact of source behaviour in evidential reasoning

P Kowalski, M Zocholl, AL Jousselme - Information Fusion, 2022 - Elsevier
Explanation abilities are required for data-driven models, where the high number of
parameters may render its internal reasoning opaque to users. Despite the natural …

Intelligent fuzzy Pythagorean Bayesian decision making of maintenance strategy selection in offshore sectors

M Yazdi, NA Golilarz, A Nedjati, KA Adesina - International Conference on …, 2021 - Springer
In this study, the new methodology is proposed with the integration of Pythagorean fuzzy set
and Bayesian structural method to deal with both objective and subjective uncertainties. The …