Sensitivity Analyses in Interval Decision Modelling

Research efforts of the DECIDE Research Group have resulted in a decision tool capable of handling imprecise information in complex decision situations. Some of the research has been directed towards developing decision analytical representation models and algorithms. The decision tool takes intervals as well as comparative relations as input, and incorporates a level of sensitivity analyses embedded into the representation instead of applying separate analyses on top of the evaluation procedure. Further, besides the embedded sensitivity analysis, an explicit sensitivity analysis is useful in order to point out the most critical probabilities, values, or weights to the decision under consideration. This paper deals with the theory and implementation of sensitivity analyses in a decision tool supporting interval probabilities, values, criteria weights, as well as comparative relations.