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Multi-criteria classification approach with polynomial aggregation function and incomplete certain information

机译:具有多项式聚合函数和某些信息不完整的多准则分类方法

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摘要

The relationship between the importance of criterion and the criterion aggregation function is discussed, criterion's weight and combinational weights between some criteria are defined, and a multi-criteria classification method with incomplete certain information and polynomial aggregation function is proposed. First, linear programming is constructed by classification to reference alternative set (assignment examples) and incomplete certain information on criterion's weights. Then the coefficient of the polynomial aggregation function and thresholds of categories are gained by solving the linear programming. And the consistency index of alternatives is obtained, the classification of the alternatives is achieved. The certain criteria's values of categories and uncertain criteria's values of categories are discussed in the method. Finally, an example shows the feasibility and availability of this method.
机译:讨论了准则重要性与准则聚合函数之间的关系,定义了准则的权重和某些准则之间的组合权重,提出了一种不完全确定信息和多项式聚合函数的多准则分类方法。首先,通过分类构造线性规划,以参考替代集(分配示例)并且不完整地确定准则权重的某些信息。通过求解线性规划得到多项式集合函数的系数和类别的阈值。得到了替代方案的一致性指标,实现了替代方案的分类。该方法讨论了特定准则的类别值和不确定准则的类别值。最后,通过一个例子说明了该方法的可行性和实用性。

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