基于不确定的模糊机会约束优化的农业水质管理模型研究

Study on Agricultural Water Quality Management Model Based on Uncertain Fuzzy Chance Constrained Optimization

以模糊机会约束规划(FCCP)框架为基础,结合区间线性规划方法(ILP),最终形成基于区间模糊机会约束优化的农业水质管理模型(IFAWQMM)。IFAWQMM有效地改进FCCP和ILP,可以同时处理农业水质管理系统中的模糊和离散区间形式的变量;另外,它允许一些模糊约束只在特定的置信水平条件下满足即可。因此,求解IFAWQMM模型,可以获得不同置信水平条件下的更优解。利用模型处理假定的农业水质管理问题。结果表明,它可以帮助决策者生成高效益的农业生产模式和分析系统经济性和稳定性之间的妥协。

Based on fuzzy chance-constrained programming（FCCP） framework,combined with interval linear programming method,the agricultural water quality management model based on interval fuzzy chance-constrained programming（IFAWQMM） was eventually developed.IFAWQMM effectively improved FCCP and ILP,since it could deal with uncertainties expressed as possibilistic distributions and discrete intervals in water agricultural quality management system.Moreover,it allowed some fuzzy constraints to be met at different confidence levels.As a result,the benefit-effective solutions could be obtained.The developed model was applied to a hypothetical case of agricultural water quality management.The results demonstrated that IFAWQMM could help decision makers generate high-benefit agricultural production patterns and analyze trade-off between system economy and stability.