Dual inexact fuzzy chance-constrained programming for planning waste management systems

DOI10.1007/s00477-010-0390-3zbMath1402.90219OpenAlexW2090933996MaRDI QIDQ1625525

Y. Aharonov

Publication date: 29 November 2018

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-010-0390-3

zbMATH Keywords

optimizationsolid wasteenvironmentdecision supportjoint probability distributiondual uncertainties

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

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Cites Work

• An interval-parameter fuzzy nonlinear optimization model for stream water quality management under uncertainty
• The multivariate normal distribution
• A fuzzy goal programming approach for the optimal planning of metropolitan solid waste management systems
• A hybrid inexact-stochastic water management model
• Grey integer programming: an application to waste management planning under uncertainty
• ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty
• Two-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties
• On the equivalence of two optimization methods for fuzzy linear programming problems
• Planning of municipal solid waste management systems under dual uncertainties: a hybrid interval stochastic programming approach
• An inexact programming method for agricultural irrigation systems under parameter uncertainty
• Multistage scenario-based interval-stochastic programming for planning water resources allocation
• Identification of optimal plans for municipal solid waste management in an environment of fuzziness and two-layer randomness
• An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty
• ITOM: An interval-parameter two-stage optimization model for stochastic planning of water resources systems

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