Another issue of how to obtain and evaluate a DSS's overall performance is addressed by the use of Uncertainty Analysis (UA). Amongst the various approaches, UA is commonly found to be an important methodology for evaluating DSS performance. UA can provide insight into uncertainty contributions from different system components. This can provide comprehensive presentations of the system outcome to aid decision making. However, there are a number of difficulties related to UA for DSS, particularly the propagation of model uncertainty through an integrated system of multiple component models - this has not been observed in the literature so far. This issue has been addressed by the use of the scenario tree method adopted in this thesis.
|Award date||28 Oct 2005|
|Place of Publication||Enschede|
|Publication status||Published - 28 Oct 2005|