Conference
A Multistage Scenario-Based Inexact Fuzzy-Stochastic Chance-Constrained Programming for Water Resources Management under Uncertainty
Abstract
In this study, a multistage scenario-based inexact fuzzy-stochastic chance-constrained programming (MSIFSCCP) is proposed for water resources management under uncertainty. The developed a hybrid inexact optimization approach integrates multistage scenario-based interval-stochastic programming (MSISP), chance-constrained programming (CCP) and fuzzy-stochastic linear programming (FSLP) within a general optimization framework. It can directly …
Authors
Jin L; Huang G; Fan Y; Wang L; Zhou H
Volume
5
Pagination
pp. 2724-2728
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
August 1, 2010
DOI
10.1109/icnc.2010.5582613
Name of conference
2010 Sixth International Conference on Natural Computation