ABSTRACT
In real applications, both assumptions can be challenged in a number of practical cases: the first when available information is scarce, imprecise or not fully reliable, and the second when independence between variables cannot be proved or is clearly unrealistic. As shown in (Ferson and Ginzburg 1996), making such assumptions when they are not justified can lead to underestimations of the final uncertainty on the output, possibly leading to bad decisions.
