Abstract
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.
| Original language | Undefined |
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| Awarding Institution |
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| Award date | 28 Oct 2005 |
| Place of Publication | Enschede |
| Publisher | |
| Print ISBNs | 90-365-2251-x |
| Publication status | Published - 28 Oct 2005 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- METIS-224792
- IR-50855
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