A fuzzy bayesian reasoning method to realise interactive failure analysis

This paper presents a novel failure analysis and prioritization method, which takes the advantages of both fuzzy and Bayesian reasoning to deal with some of the drawbacks concerning the use of the conventional failure mode and effects analysis (FMEA) technique. The method is proposed to extend the previously developed fuzzy rule-based bayesian reasoning (FuRBaR) approach to a wider context, where not only ambiguous estimates but also dependent relations associated with failures can be appropriately modelled.