2014
DOI: 10.1016/j.agsy.2013.10.001
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A hybrid fuzzy-stochastic programming method for water trading within an agricultural system

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Cited by 54 publications
(23 citation statements)
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“…virtual water) instead of producing food [8][9][10]. In another study, Li et al [11] confirmed that virtual water trading can save excess water without any significant changes in revenue obtained in a non-trading activity. Also, taking the role of water price into account, Fracasso et al [12] proved that higher water irrigation prices, reduce virtual water exports.…”
Section: Introductionmentioning
confidence: 55%
“…virtual water) instead of producing food [8][9][10]. In another study, Li et al [11] confirmed that virtual water trading can save excess water without any significant changes in revenue obtained in a non-trading activity. Also, taking the role of water price into account, Fracasso et al [12] proved that higher water irrigation prices, reduce virtual water exports.…”
Section: Introductionmentioning
confidence: 55%
“…Fuzzy possibilistic programming (FPP) can effectively cope with the ambiguous information in decision-making problems which is modeled by possibilistic distribution with subjective knowledge/-experience of decision makers [19][20][21]. However, the conventional FPP only presents the average system performance; it has difficulties in ensuring any realization of uncertain parameters and may encounter challenges in obtaining risk-averse solutions under high variability conditions [20].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it was challenging to reflect relationship among the rainfall, irrigation, and crop outputs and to conduct mitigation strategies in agricultural sectors correspondingly (Ogle et al 2013). To solve such problems, many studies were undertaken upon decision making and adaptation planning of agricultural irrigation management under uncertain conditions (Cai et al 2009Dong et al 2013;Tan et al 2011;Ogle et al 2013;Li et al 2014). Among many methods adopted by these studies, interval parameter programming and fuzzy mathematical programming were effective in dealing with dual-level uncertainties that can be expressed as interval numbers and fuzzy sets (Faybishenko 2010;Liu et al 2013;Lv et al 2011;Hu et al 2014).…”
Section: Introductionmentioning
confidence: 99%