Inexact joint-probabilistic stochastic programming for water resources management under uncertainty

In this study, an inexact two-stage integer program with joint-probabilistic constraint (ITIP-JPC) is developed for supporting water resources management under uncertainty. This method can tackle uncertainties expressed as joint probabilities and interval values, and can reflect the reliability of satisfying (or the risk of violating) system constraints under uncertain events and/or parameters. Moreover, it can be used for analysing various …