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A synthetic evaluation method based on the Grey Analytic Hierarchy Model

机译:一种基于灰色分析层次模型的合成评估方法

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Analytic Hierarchy Process (AHP) is the main method to process judgment without fixed structure, but there are two problems in the application. Consistency calculation of judging matrixes is complex and evaluation information from the experts is not objective. This paper proposes a new synthetic evaluation method based on Grey Analytic Hierarchy Model (GAHM) to solve above problems. Indexes weight vectors is obtained by the process of judging relative weight between any two of indexes using Analytic Hierarchy Model method(AHM), then the grey weight matrixes can be obtained referring the index evaluation information from experts using grey evaluation method. The final evaluation result is obtained by mapping synthesizing result of relative property weight vectors and grey weight matrixes to scoring range. The proposed method is effective by testing and verifying practical example. The main priorities are that evaluation process become more objective and calculating process is quicker. There is much application value to use the method.
机译:分析层次处理(AHP)是在没有固定结构的情况下处理判断的主要方法,但应用程序中存在两个问题。判断矩阵的一致性计算是来自专家的复杂和评估信息不是客观的。本文提出了一种基于灰色分析层次模型(GAHM)的新的合成评估方法来解决上述问题。索引权重向量是通过使用分析层次模型方法(AHM)判断任何两个索引之间的相对重量的过程获得,然后可以使用灰度评估方法从专家指数评估信息获得灰度矩阵。最终评估结果是通过将相对性权载体和灰度矩阵的合成结果进行映射到评分范围来获得。该方法通过测试和验证实际示例是有效的。主要优先事项是评估过程变得更加客观,计算过程更快。使用该方法有很多应用值。

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