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首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >The use of fuzzy-weighted binary integer goal programming to select the optimum site for a central processing plant
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The use of fuzzy-weighted binary integer goal programming to select the optimum site for a central processing plant

机译：模糊加权二进制整数目标编程的使用选择中央加工厂的最佳位点

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摘要

Fuzzy-weighted integer goal programming has been developed and used to select the most suitable site to construct a central processing plant for several adjacent small-scale dimension stone quarries, based on the most effective criteria. In the first step of mathematical modelling, the most important goals and decision variables were defined. Accordingly, an objective function was used in the model for minimizing the sum of undesired fuzzy-weighted deviations. Fuzzy weights were determined by a matrix of pairwise comparisons of various expert judgments in this field and the fuzzy geometric mean. The goal and systemic constraints were also modelled. The most suitable site for the construction of the plant was selected after solving the mathematical model in the Excel? Solver add-in. The selected site had various advantages over the other sites, such as the shortest average distance to the quarries, the shortest distance to power access and workforce, and the lowest land price.
机译：模糊加权整数目标编程已经开发并用于选择最适合的部位，以基于最有效的标准，为几个相邻的小型尺寸石头采石场构建中央加工厂。 在数学建模的第一步中，定义了最重要的目标和决策变量。 因此，在模型中使用目标函数以最小化不需要的模糊加权偏差之和。 模糊重量由该领域的各种专家判断的成对比较矩阵确定，并且模糊几何平均值。 目标和系统约束也是建模的。 在求解Excel的数学模型后，选择了最合适的植物构建的部位？ 求解器加载项。 所选网站与其他网站的各种优势有各种优势，例如与采石场的最短平均距离，电源访问和劳动力最短的距离以及最低的土地价格。

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