Two-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties
type: Item
instance of: scholarly article
title: Two-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties
zbMATH Open document ID: 1411.90360
author: Xianqiang Yang
published in: Stochastic Environmental Research and Risk Assessment
publication date: 2019-05-03T00:00:00Z
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 91B76
zbMATH DE Number: 7050440
zbMATH Keywords: decision making
zbMATH Keywords: uncertainty
zbMATH Keywords: uncertainty reflection
zbMATH Keywords: policy analysis
MaRDI profile type: Publication
full work available at URL: s00477-008-0221-y
OpenAlex ID: W1998763779
cites work: A finite branch-and-bound algorithm for two-stage stochastic integer programs
cites work: A Multiobjective Fuzzy Stochastic Program For Water Resources Optimization: The Case Of Lake Management
cites work: Parallel algorithms to solve two-stage stochastic linear programs with robustness constraints
cites work: Redefining chance-constrained programming in fuzzy environment
cites work: Q5685863
cites work: Chance constrained programming approaches to congestion in stochastic data envelopment analysis.
cites work: Convergence properties of two-stage stochastic programming
cites work: Ranking fuzzy numbers in the setting of possibility theory
cites work: ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty
cites work: A hybrid inexact-stochastic water management model
cites work: Comparison of fuzzy numbers using possibility programming: comments and new concepts.
cites work: A suggested approach for possibility and necessity dominance indices in stochastic fuzzy linear programming
cites work: An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty
DOI: 10.1007/S00477-008-0221-Y
description: scientific article; zbMATH DE number 7050440