An interactive inexact fuzzy bounded programming approach for agricultural water quality management

An interactive inexact fuzzy bounded programming approach for agricultural water quality management
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农业水质管理的交互式不精确模糊有界规划方法

DOI:
10.1016/j.agwat.2013.11.003
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发表时间:
2014-02
影响因子:
6.7
通讯作者:
Du, P.
Du, P.
中科院分区:
农林科学1区
文献类型:
--
作者:
Lu, H. W.;Nie, X. H.;He, L.;Du, P.

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通过在交互式模糊妥协规划框架中引入模糊有界区间的概念,提出了一种交互式不精确模糊有界规划方法。它可以为具有更大客观价值和更高安全约束水平的冲突愿望的决策者提供决策支持。该模型通过从语义对应中确定与不同可行度相关联的模糊目标,计算出各目标的满足程度。决策者可以通过分析接近期望水平的程度和违反约束的风险,对决策过程的每一步进行干预。将所开发的方法应用于农业水质管理案例,优化种植面积、粪肥用量和畜牧业规模。结果表明,可行性程度的提高与系统效益的降低相对应。通常,通过分析所有解决过程中违反约束的风险,具有自己期望水平的决策者可以在考虑满足期望水平和最小化违反风险之间的冲突的情况下,得到一个平衡的解决方案。
An interactive inexact fuzzy bounded programming (IFBP) approach is developed through introducing the concept of fuzzy bounded intervals into an interactive fuzzy compromise programming framework. It can provide decision support for decision makers with conflicting desires of greater objective value and higher safety levels of constraints. In this model, by determining a fuzzy goal associated with different feasibility degrees from a semantic correspondence, the degrees of satisfying each objective can be calculated. Decision makers can intervene in every step of the decision process through analyzing the degrees of approaching the aspiration levels and the risks of violating the constraints. The developed method is applied to an agricultural water quality management case for optimizing planting area, manure/fertilizer application amount, and livestock husbandry size. Results indicated that an increased feasibility degree would correspond to a reduced system benefit. Generally, by analyzing risks of violating the constraints in all solution processes, decision makers who have their own aspiration levels would be able to obtain a balanced solution considering the conflict between satisfying the aspiration levels and minimizing the violation risks.
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