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基于模糊预测型线性规划模型的矿山产能配置

Application of fuzzy grey predictive linear programming in capacity allocation of mine
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摘要 将线性规划与模糊数学及灰色理论有机结合,构建了与产能分配实际情况较为接近的模糊预测型线性规划模型。利用灰色预测理论对各灰色系数进行白化,将模糊预测型线性规划模型转化为模糊线性规划模型,利用最优判决条件进一步转化,得到以最大隶属度为目标函数的一般线性规划模型,求解得到了矿山的最优产能分配,以实现矿山产能的科学配置和效益的最大化。 The fuzzy grey predictive linear programming model was constructed by combining characteristics of both fuzzy linear programming and grey predictive linear programming for allocation of mine production capacity.Grey prediction theory was used to whiten grey coefficients,fuzzy grey predictive linear programming model was turned into fuzzy linear programming model,fuzzy optimal decision was used to turn fuzzy linear programming model into linear programming model,in order to obtain the linear programming model with maximum membership degree serving as objective function,as result,the optimal capacity allocation was achieved,which can lead to the maximum economic benefit.
作者 何奕良
出处 《化工矿物与加工》 CAS 北大核心 2012年第4期21-26,共6页 Industrial Minerals & Processing
关键词 矿山产品 产能分配 模糊预测 线性规划模型 products from mine capacity allocation fuzzy grey predictive linear programming model
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