.Credibility.Types.Interval1D

Information

An epistemic uncertainty of 1d table, i.e. the uncertainty due to lack of knowledge – e.g., on the side of model, analysis or experiment. The uncertainty is described only by vectors of the minimum and the maximum possible values of the uncertain table. See also BaseUncertainty1D uncertainty for general information.

The nominal, minimum and maximum vectors are all collected in table. To use this uncertainty in an optimization run that determines improved control parameters or during a Monte Carlo simulation to propagate uncertainties to output variables, the uncertain parameter lambda is introduced. It is aimed to enable convex scaling between lower limits (for lambda = -1), nominal values (lambda = 0) and upper limits (lambda = 1).