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Planning water resources management systems using a fuzzy-boundary interval-stochastic programming method
2010
Advances in Water Resources
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In this study, a fuzzy-boundary interval-stochastic programming (FBISP) method is developed for planning water resources management systems under uncertainty. ...
The developed FBISP is also applied to water resources management and planning within a multi-reservoir system. ...
an inexact multistage stochastic programming method for water resources management under uncertainty; this method could deal with uncertainties expressed as random variables and interval values through ...
doi:10.1016/j.advwatres.2010.06.015
fatcat:ep4mabdf7fgc5g6dmodmmbdmxm
A two-stage inexact programming with value-at-risk for water resources management
2022
E3S Web of Conferences
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In this study, the application of a two-stage inexact programming with value-at-risk (TIPV) model in water resources system planning has been developed. ...
The application of case study shows that more alternatives under multiple levels of risks could be generated. ...
[1] proposed a method for water resources system planning by combing interval and fuzzy uncertainties into a two-stage stochastic programming. ...
doi:10.1051/e3sconf/202234101020
fatcat:wy2vk3kxlvf6bctdofqgwpmhxm
A Type-2 Fuzzy Based Interval-Stochastic Risk Management Programming Model for Identifying Sustainable Water Resources Allocation Policies
2018
IOP Conference Series: Earth and Environment
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In this study, a type-2 fuzzy based interval-stochastic risk management programming (TISRM) method is proposed for optimal irrigation water resources allocation associated with multiple uncertainties expressed ...
Solutions of irrigation water allocation under different probability distributions and confidence levels are generated. ...
[11] coupled FRM and two-stage stochastic programming for water resources allocation. Soltani et al. ...
doi:10.1088/1755-1315/146/1/012020
fatcat:aosovpr5obcgrh4oxy4xxat62y
A Regional Water Optimal Allocation Model Based on the Cobb-Douglas Production Function under Multiple Uncertainties
2017
Water
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To optimize the water distribution of three industries based on the water demand prediction under multiple uncertainties, a fuzzy credibility-constrained interval two-stage stochastic programming (FCITSP ...
The CD-FCITSP model integrated fuzzy credibility-constrained programming (FCP), an interval two-stage stochastic programming (ITSP) method and CD function. ...
In optimization parts, interval programming (IP), two-stage stochastic programming (TSP), and fuzzy credibility-constrained programming (FCP) are incorporated into a general optimization framework to solve ...
doi:10.3390/w9120923
fatcat:lstybdtv7jahtewdrlhmwtl4sy
Development of Optimal Water-Resources Management Strategies for Kaidu-Kongque Watershed under Multiple Uncertainties
2013
Mathematical Problems in Engineering
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In this study, an interval-stochastic fractile optimization (ISFO) model is advanced for developing optimal water-resources management strategies under multiple uncertainties. ...
The ISFO model is then applied to a real case of water-resources systems planning in Kaidu-kongque watershed, China, and a number of scenarios with different ecological water-allocation policies under ...
[17] proposed a multistage fuzzy-stochastic programming model for supporting water resources management under uncertainty, which could tackle uncertainties expressed as fuzzy sets and probability distributions ...
doi:10.1155/2013/892321
fatcat:tbqzskky5ncjdbicubmzw2sfla
An Extended Two-stage Stochastic Programming Approach for Water Resources Management under Uncertainty
2015
Journal of Environmental Informatics
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In this study, extended two-stage stochastic programming with fuzzy variables is developed for water resources management under uncertainty. ...
First, the problem is formulated and solved by an extended interval-parameter two-stage stochastic programming (ITSP) approach for retrieving water shortages. ...
For water resources management, proposed ITSFP through incorporating an interactive fuzzy resolution method within an inexact two-stage stochastic programming framework. ...
doi:10.3808/jei.201600334
fatcat:lot5uchmkzaa5oll4ttuayk7tq
Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty
2018
Environmental Modelling and Assessment
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This paper reviews the literature on the development of mathematical programming models for water resource management under uncertainty between 2010 and 2017. ...
The research reveals that stochastic dynamic programming and multistage stochastic programming are the methods most commonly applied. ...
Planning water resources management systems using a fuzzy-boundary interval-stochastic programming method. ...
doi:10.1007/s10666-018-9628-0
fatcat:o4txf2xrifevbombkor72opzka
Optimizing Water Allocation under Uncertain System Conditions for Water and Agriculture Future Scenarios in Alfeios River Basin (Greece)—Part B: Fuzzy-Boundary Intervals Combined with Multi-Stage Stochastic Programming Model
2015
Water
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Reference [6] developed an inexact two-stage stochastic programming method for water resources management, dealing with uncertainties expressed as both probability distributions and intervals and accounting ...
They assigned a given probability to each of a range of inputs occurring at different stages of an optimization horizon. A common SP method is the two-stage stochastic programming (TSP). ...
Strategic Reference Framework (NSRF)-Research Funding Program: Heracleitus II: Investing in knowledge society through the European Social Fund. ...
doi:10.3390/w7116427
fatcat:7sdvpahznnbivdsidmbehgfjem
Dependent-Chance Goal Programming for Water Resources Management under Uncertainty
2016
Scientific Programming
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And a dependent-chance goal programming (DCGP) model is provided for water resources management under such circumstance. ...
Without sufficient data, consulting experts is a good way to quantify unknown parameters in water resources management which will result in human uncertainty. ...
[12] developed a fuzzy stochastic two-stage programming approach for water resources management under randomness and fuzziness which integrated the fuzzy robust programming, chanceconstrained programming ...
doi:10.1155/2016/1747425
fatcat:yuc7sss55bhp7i3dhz6h7wstbm
A Mix Inexact-Quadratic Fuzzy Water Resources Management Model of Floodplain (IQT-WMMF) for Regional Sustainable Development of Dahuangbaowa, China
2015
Water
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In this study, a mix inexact-quadratic fuzzy water resources management model of floodplain (IQT-WMMF) has developed, through incorporating techniques of credibility-constrained programming (CP), two-stage ...
The developed method is applied to a real case of planning water resources in the Dahuangbaowa floodplain, China, with the aim to develop a sustainable water resources management in the study region. ...
For example, Maqsood et al. (2005) developed an interval-fuzzy two-stage stochastic programming method for planning water resources management systems associated with multiple uncertainties [16] . ...
doi:10.3390/w7062771
fatcat:evmrtkh3kvecflz3i3ttihtfty
A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty
2011
Energies
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mathematical programming methods will be presented in Section 3, and decision supporting tools ...
A number of related methodologies and applications related to: (a) optimization modeling of GHG emission mitigation; (b) optimization modeling of energy systems planning under uncertainty; and (c) model-based ...
Also, two-stage stochastic programming and chance-constrained programming are the major two methods. ...
doi:10.3390/en4101624
fatcat:gudrxjmmt5ggvpd5g7i5wov2ra
Conjunctive Water Management under Multiple Uncertainties: A Case Study of the Amu Darya River Basin, Central Asia
2022
Water
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In this study, a hybrid factorial optimization programming (HFOP) method is developed through integrating factorial analysis, interval linear programming, flexible fuzzy programming, and two-stage stochastic ...
programming into a general framework. ...
fuzzy programming (FFP), and two-stage stochastic programming (TSP) into a general framework. ...
doi:10.3390/w14101541
fatcat:6cy4krmkajcorefb5vuz54775y
An inexact optimization model associated with two robust programming approaches for water resources management
2014
International Journal of Environmental Science and Technology
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In this study, an interval fuzzy-robust two-stage stochastic-robust programming (IFRTSRP) model is developed for water resources management under uncertainty. ...
The developed IFRTSRP model incorporates two-stage stochastic programming (TSP), fuzzy robust programming (FRP), interval linear programming (ILP), and stochastic robust optimization (SRO) within a general ...
framework, which leads to an interval fuzzy-robust two-stage stochastic-robust programming (IFRTSRP) method. ...
doi:10.1007/s13762-014-0639-3
fatcat:te2jiqwhpndf7eindg5n6fldui
Mathematical Modeling for Resources and Environmental Systems
2013
Mathematical Problems in Engineering
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Qin advanced an extended fuzzy parametric programming (EFPP) model for planning water resources allocation problems under uncertainty. ...
The paper "An interval-parameter fuzzy linear programming with stochastic vertices model for water resources management under uncertainty" by Y. ...
Qin advanced an extended fuzzy parametric programming (EFPP) model for planning water resources allocation problems under uncertainty. ...
doi:10.1155/2013/674316
fatcat:n2bzvudydba7rfivnk6fr4hvb4
Sustainable urban water resources management considering life-cycle environmental impacts of water utilization under uncertainty
2016
Resources, Conservation and Recycling
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Some researchers adopted two-stage stochastic 94 programming (TSP) to support decision making considering occurrences of random events with multiple 95 water availabilities (Lv et al., 2013). ...
This represented an 24 improvement upon conventional LCA method, as well as water resources allocation. ...
Water allocation strategies 646 In this research, a fuzzy inexact two-stage programming (FITSP) model was integrated into uncertainty and 647 life-cycle analysis methods to identify desired strategies ...
doi:10.1016/j.resconrec.2016.01.008
fatcat:xqum7kpcu5didjfnub3n7jvula
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