A generalized fuzzy credibility-constrained linear fractional programming approach for optimal irrigation water allocation under uncertainty

•A generalized fuzzy credibility-constrained linear fractional programming approach is developed.•The approach is applied to Heihe River Basin in northwest China for irrigation water management.•A lower credibility level and higher weight coefficient corresponds to higher system efficiency.•The weig...

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Vydáno v:Journal of hydrology (Amsterdam) Ročník 553; s. 735 - 749
Hlavní autoři: Zhang, Chenglong, Guo, Ping
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.10.2017
Témata:
case studies
China
factor analysis
Generalized fuzzy credibility-constrained programming
irrigation management
irrigation water
Irrigation water allocation
Linear fractional programming
System efficiency
Uncertainty
water allocation
watersheds
China
System efficiency
Uncertainty
Irrigation water allocation
Generalized fuzzy credibility-constrained programming
Linear fractional programming
ISSN:0022-1694, 1879-2707
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Shrnutí:•A generalized fuzzy credibility-constrained linear fractional programming approach is developed.•The approach is applied to Heihe River Basin in northwest China for irrigation water management.•A lower credibility level and higher weight coefficient corresponds to higher system efficiency.•The weight coefficient is a main factor compared with credibility level in system efficiency. The vague and fuzzy parametric information is a challenging issue in irrigation water management problems. In response to this problem, a generalized fuzzy credibility-constrained linear fractional programming (GFCCFP) model is developed for optimal irrigation water allocation under uncertainty. The model can be derived from integrating generalized fuzzy credibility-constrained programming (GFCCP) into a linear fractional programming (LFP) optimization framework. Therefore, it can solve ratio optimization problems associated with fuzzy parameters, and examine the variation of results under different credibility levels and weight coefficients of possibility and necessary. It has advantages in: (1) balancing the economic and resources objectives directly; (2) analyzing system efficiency; (3) generating more flexible decision solutions by giving different credibility levels and weight coefficients of possibility and (4) supporting in-depth analysis of the interrelationships among system efficiency, credibility level and weight coefficient. The model is applied to a case study of irrigation water allocation in the middle reaches of Heihe River Basin, northwest China. Therefore, optimal irrigation water allocation solutions from the GFCCFP model can be obtained. Moreover, factorial analysis on the two parameters (i.e. λ and γ) indicates that the weight coefficient is a main factor compared with credibility level for system efficiency. These results can be effective for support reasonable irrigation water resources management and agricultural production.
Bibliografie:ObjectType-Article-1
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content type line 23
ISSN:0022-1694
1879-2707
DOI:10.1016/j.jhydrol.2017.08.008