Journal article
An inexact joint-probabilistic programming method for risk assessment in water resources allocation
Abstract
In this study, an inexact joint probabilistic programming (IJPP) approach is developed for risk assessment and uncertainty reflection in water resources management systems. IJPP can dominate random parameters in the model’s left- and right-hand sides of constraints and interval parameters in the objective function. It can also help examine the risk of violating joint probabilistic constraints, which allows an increased robustness in controlling …
Authors
Zhuang XW; Li YP; Huang GH; Zeng XT
Journal
Stochastic Environmental Research and Risk Assessment, Vol. 29, No. 5, pp. 1287–1301
Publisher
Springer Nature
Publication Date
July 2015
DOI
10.1007/s00477-014-1008-y
ISSN
1436-3240