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EQS: a computer software using fuzzy logic for equipment selection in mining engineering

机译:EQS:在采矿工程中使用模糊逻辑进行设备选择的计算机软件

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摘要

Equipment selection in mining operations is an important issue, and also difficult to solve in multiple criteria environments. The paper in question has aimed to develop computer software for solving equipment selection problems in mining. In their paper, Bascetin et al. have analysed two case study problems related to openpit and underground mining method selection. By using Yager's method, the authors have selected 18 different criteria in the first case study and 21 criteria in the second case study. However, as emphasized by 0zdemir2, in pairwise comparison matrices the appropriate number of criteria should be seven as the maximum, from the point view of validation, consistency and redundancy. In cases where there are more than seven criteria to be handled, it is suggested that the criteria should be clustered and then the maximum number of clusters and subcriteria of every cluster should be limited to seven.
机译:采矿作业中的设备选择是一个重要问题,并且在多标准环境中也很难解决。该论文旨在开发解决采矿中设备选择问题的计算机软件。在他们的论文中,Bascetin等人。分析了与露天开采和地下采矿方法选择有关的两个案例研究问题。通过使用Yager方法,作者在第一个案例研究中选择了18个不同的标准,在第二个案例研究中选择了21个标准。但是,正如0zdemir2所强调的那样,从验证,一致性和冗余的角度来看,在成对比较矩阵中,适当的标准数量应为最大七个。如果要处理的标准超过七个,建议将这些标准进行聚类,然后将最大分类数和每个分类的子标准限制为七个。

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