This paper proposes an inference algorithm which uses the Bayesian Network and Fuzzy Logic reliability. This solution has been implemented, tested and evaluated ...
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This paper proposes an inference algorithm which uses the. Bayesian Network and Fuzzy Logic reliability. This solution has been implemented, tested and ...
Apr 29, 2018 · The Bayesian Networks are graphical models that are easy to interpret and update. These models are useful if the knowledge is uncertain, ...
Apr 15, 2022 · A fuzzy SoE (strength of evidence) index is developed based on fuzzy logic theory. •. The ambiguity issue of SoE raised in the literature in ...
A benefit of using fuzzy evidence within a Bayesian network is that the model can become much more expressive than a traditional Bayesian network. This is ...
In this article, a novel methodology is proposed for QRA by combining fuzzy set theory and evidence theory with Bayesian networks to describe the uncertainties ...
Fuzzy set theory (FST) is an effective tool to handle epistemic uncertainty (due to inaccuracy, vagueness and lack of knowledge) of failure probability. The ...
In this article, a novel methodology is proposed for QRA by combining fuzzy set theory and evidence theory with Bayesian networks to describe the uncertainties, ...
Jul 23, 2019 · Abstract: A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs), improved Dempster-Shafer (D-S) evidence ...
A novel methodology is proposed for QRA by combining fuzzy set theory and evidence theory with Bayesian networks to describe the uncertainties, ...