Article ID: | iaor20119910 |
Volume: | 190 |
Issue: | 1 |
Start Page Number: | 375 |
End Page Number: | 387 |
Publication Date: | Oct 2011 |
Journal: | Annals of Operations Research |
Authors: | Garcia F, Crespo O, Bergez |
Keywords: | decision theory, programming: mathematical, water |
Decision theory dealing with uncertainty is usually considering criteria such as expected, minimum or maximum values. In economic areas, the quantile criterion is commonly used and provides significant advantages. This paper gives interest to the quantile optimization in decision making for designing irrigation strategies. We developed