For cases where an interval is reported, a uniform probability density function is assigned to that range. When only a single value is reported, a Dirac delta function is the probability density function for that specific number. If a combination of these two scenarios exists for a given component, we construct a weighted sum of probability density functions, assigning equal weights to each. This is based on the assumption that opting for a conservative distribution ensures robustness in the model. This approach is particularly relevant for input variables whose underlying distribution is unknown or insufficiently characterized.