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Planning water resources management systems using a fuzzy-boundary interval-stochastic programming method

Y.P. Li, G.H. Huang, S.L. Nie
2010 Advances in Water Resources  
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

Xiangming Kong, Donglin Wang, Chunxiao Wang, Yu Wang, Xiufeng Yao, Xiaoming Liu, M. Popescu, D.J. Jakóbczak
2022 E3S Web of Conferences  
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

J Liu, Y P Li
2018 IOP Conference Series: Earth and Environment  
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  
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

Y. Zhou, Y. P. Li, G. H. Huang, Y. Huang
2013 Mathematical Problems in Engineering  
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

J. Nematian
2015 Journal of Environmental Informatics  
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

Thomas W. Archibald, Sarah E. Marshall
2018 Environmental Modelling and Assessment  
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

Eleni Bekri, Markus Disse, Panayotis Yannopoulos
2015 Water  
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

Haiying Guo, Honghua Shi, Xiaosheng Wang
2016 Scientific Programming  
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

Xueting Zeng, Xiaoliu Yang, Liyang Yu, Huili Chen
2015 Water  
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

Yong Zeng, Yanpeng Cai, Guohe Huang, Jing Dai
2011 Energies  
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

Xiaobo Zhai, Yongping Li, Yuan Ma, Guohe Huang, Yanfeng Li
2022 Water  
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

W. Li, M. Liu, S. Z. Wu, Y. Xu
2014 International Journal of Environmental Science and Technology  
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

Y. P. Li, G. H. Huang, S. L. Nie, B. Chen, X. S. Qin
2013 Mathematical Problems in Engineering  
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

Yanpeng Cai, Wencong Yue, Linyu Xu, Zhifeng Yang, Qiangqiang Rong
2016 Resources, Conservation and Recycling  
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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