where, the questions are, what can go wrong in the system (Scenario – S), how likely is it that it goes wrong (Likelihood – L), and what are the consequences if the assumed scenario happens (Consequence – C)? The added set represents the knowledge (K) and the understanding (N) dimensions describing the ways in which the modeled system is explained to work.
Adapting the definition of risk given by Aven and Zio (2011), risk description should contain scenarios composed of events (A), the consequences (C) if a scenario becomes true and uncertainty analysis (Q). Q also contains the sensitivity analysis and parameter importance scoring, as suggested by Aven (2010).