Marine and offshore safety assessment by incorporative risk modeling in a fuzzy-Bayesian network of an induced mass assignment paradigm.
The incorporation of the human element into a probabilistic risk-based model is one that requires a possibilistic integration of appropriate techniques and/or that of vital inputs of linguistic nature. While fuzzy logic is an excellent tool for such integration, it tends not to cross its boundaries of possibility theory, except via an evidential reasoning supposition. Therefore, a fuzzy-Bayesian network (FBN) is proposed to enable a bridge to be made into a probabilistic setting of the domain. This bridge is formalized by way of the mass assignment theory. A framework is also proposed for its use in maritime safety assessment. Its implementation has been demonstrated in a maritime human performance case study that utilizes performance-shaping factors as the input variables of this groundbreaking FBN risk model.
Eleye-Datubo
A G
AG
Marine, Offshore and Transport Research Group, School of Engineering, Liverpool John Moores University, Byrom Street, Liverpool, UK.
Wall
A
A
Wang
J
J
D001499:Bayes Theorem; D017143:Fuzzy Logic; D006801:Humans; D008962:Models, Theoretical; D009792:Oceans and Seas; D011336:Probability; D015203:Reproducibility of Results; D018570:Risk Assessment; D012449:Safety; D012623:Seawater