Addressing the epistemic uncertainty in maritime accidents modelling using Bayesian network with interval probabilities
Abstract
Bayesian Network (BN) is often criticized for demanding a large number of crisp/exact/precise conditional probability numbers which, due to the lack of statistics, have to be obtained through experts’ judgment. These exact probability numbers provided by the experts often carry a high level of epistemic uncertainty due to the incompleteness of human knowledge, not to mention the hardness in obtaining them in the first place. The existence of...
Paper Details
Title
Addressing the epistemic uncertainty in maritime accidents modelling using Bayesian network with interval probabilities
Published Date
Feb 1, 2018
Journal
Volume
102
Pages
211 - 225
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