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A Multistage Scenario-Based Inexact...
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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