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Xueting Zeng published an article in October 2014.
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CONFERENCE-ARTICLE 6 Reads 0 Citations An Inexact Fuzzy Optimization Programming with Hurwicz Criterion (IFOPH) for Sustainable Irrigation Planning in Arid Reg... Published: 31 October 2014
The 4th World Sustainability Forum, doi: 10.3390/wsf-4-a002
In the past decades, sustainability in irrigation planning has been of concern to many researchers and managers. However, uncertainties existed in irrigation planning system can bring about enormous difficulties and challenges in generating desired decision alternatives to attain the aim of sustainability. In this study, an inexact fuzzy optimization programming with Hurwicz criterion (IFOPH) is developed for sustainable irrigation planning under uncertainty, which incorporate two-stage stochastic programming (TSP), interval-parameter programming (IPP), fuzzy credibility-constraint programming (FCP) and Hurwicz criterion (TCP-CH) within an framework. The IFOPH approach can not only provide an effective linkage between conflicting economic benefits and the associated penalties attributed to the violation of the pre-regulated policies, but also tackle uncertainties expressed as probabilistic distributions, fuzzy sets and interval values. The developed method is applied to the real case of planning sustainable irrigation in Tarim Basin, which is one of the aridest regions of China. The results based on confidence degrees and Hurwicz parameters are obtained, which can permit in-depth analyses of various policy scenarios of that are associated with different levels of economic penalties. Meanwhile, the results reveal that appropriate irrigation planning can improve the efficiency of water allocations, which has brought positive effects on remedying water deficit and promoting the sustainable development of agricultural production activities. Moreover, tradeoffs between economic benefit and system-failure risk based on Hurwicz criterion can support generating an increased robustness in risk control, which can facilitate the local decision makers in adjusting water-allocation pattern to satisfy the increasing water demand.
Article 5 Reads 6 Citations Inexact Mathematical Modeling for the Identification of Water Trading Policy under Uncertainty Published: 27 January 2014
Water, doi: 10.3390/w6020229
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, discrete intervals and fuzzy sets. It can also provide an effective linkage between the benefits to the system and the associated economic penalties attributed to the violation of the predefined policies for water resource allocation. The developed TICP method is applied to a real case of water resource allocation management and planning in the Kaidu-kongque River Basin, which is a typical arid region in Northwest China. Different water resource allocation policies based on changes to the water permit and trading ratio levels are examined. The results indicate that the efficiencies of water trading are sensitive to the degrees of satisfaction (i.e., interval credibility levels), which correspond to different water resource management policies. Furthermore, the comparison of benefits and shortages between trading and non-trading schemes implies that trading is more optimal and effective than non-trading. The results are helpful for making decisions about water allocation in an efficient way and for gaining insight into the tradeoffs between water trading and economic objectives.