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Tienan Li, Xueting Zeng, Cong Chen, Xiangmin Kong, Junlong Zhang, Ying Zhu, Fan Zhang and He Dong
In this study, an initial water-rights allocation (IWRA) model is proposed for adjusting the traditional initial water-rights empowerment model based on previous water intake permits, with the aim of improving the productivity of water resources under po...
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Hang Wang, Chenglong Zhang and Ping Guo
In this study, an interval quadratic fuzzy dependent-chance programming (IQFDCP) model is proposed for irrigation water management under uncertainty. This model can deal with the interval and fuzzy uncertainties encountered in optimal irrigation water re...
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Fan Zhang, Qian Tan, Chenglong Zhang, Shanshan Guo and Ping Guo
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) model base on the Cobb-Douglas production (CD) fu...
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Xueting Zeng, Xiaoliu Yang, Liyang Yu and Huili Chen
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 programming (TP), interval-parameter programming...
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Xueting Zeng, Yongping Li, Guohe Huang and Liyang Yu
In this study, a two-stage inexact credibility-constrained programming (TICP) method is developed for identifying the efficiency of water trading under multiple uncertainties. TICP can tackle uncertainties expressed as probabilistic distributions, discre...
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