“…Bayesian Networks Graph-based technique, where nodes are risk variables with defined probabilities; these probabilities can depend on other node(s), through connections made by arcs; used for probability estimation of various risk scenarios, often in the causation analysis (Berle, Asbjørnslett, & Rice, 2011;Gyftakis et al, 2018;Trucco, Cagno, Ruggeri, & Grande, 2008;Tu, Zhang, Rachmawati, Rajabally, & Huang, 2017;Wan, Yan, Zhang, Qu, & Yang, 2019a) Fuzzy Logic, IF-THEN rules Fuzziness is a type of deterministic uncertainty that describes the event class ambiguity (i.e., outcomes that belong to several event classes at the same time but to different degrees); it measures the degree to which an event occurs, not whether it occurs; used when there exists an uncertainty for a risk factor (factor is vague, ambiguous, or fuzzy) and thus cannot be represented precisely by a probability distribution; allows for incorporation of human factors in risk analysis; often used with if-then rules which map probability, consequences and risk value (Arici, Akyuz, & Arslan, 2020;Balmat, Lafont, Maifret, & Pessel, 2009;Eleye-Datubo, Wall, & Wang, 2008;Elsayed, 2009;Gaonkar et al, 2011;J. Liu, Yang, Wang, & Sii, 2005;Markowski, Mannan, & Bigoszewska, 2009;Tu, Zhang, Rachmawati, Rajabally, & Huang, 2017;Wan, Yan, Zhang...…”