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Symmetric projection group approach for promoting homogeneity in the analytic hierarchy process

机译:促进分析层次过程中均匀性的对称投影群方法

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The complexity of the socio-economic environment requires the involvement of a group of decision makers in the decision-making process. They can contribute the diversity of knowledge and experience that allow all the important aspects of the decision-making problem to be taken into account. In the aggregation process, the weights of the decision makers play an important role. In this paper we have focused on the group analytic hierarchy process (AHP). We emphasized the homogeneity of the opinions of the decision makers as the basis for determining the importance weights of the decision makers. We reviewed the projection method and its upgrades for determining decision makers weights and demonstrated with examples that they are not suitable for application in AHP. We proposed a new symmetric projection method that eliminates the imperfections of the previous projection methods. We proposed a Symmetric Projection Group Approach (SPGA) to derive group weights in AHP. To validate the SPGA, we selected four evaluation measures. The evaluation of the examples shows that the SPGA achieves good evaluation results compared to the other methods for deriving decision makers weights and is suitable for real-world applications.
机译:社会经济环境的复杂性要求将一群决策者参与决策过程。他们可以促进知识和经验的多样性,允许考虑决策问题的所有重要方面。在聚合过程中,决策者的权重发挥着重要作用。在本文中,我们专注于组分析层次处理(AHP)。我们强调了决策者的意见的同质性作为确定决策者的重要性的基础。我们审查了预测方法及其升级,以确定决策者权重,并用它们的例子证明它们不适合在AHP中应用。我们提出了一种新的对称投影方法,可以消除先前投影方法的缺陷。我们提出了一个对称投影群方法(SPGA),以导出AHP中的组权重。为了验证SPGA,我们选择了四种评估措施。对实施例的评价表明,与导出决策者重量的其他方法相比,SPGA实现了良好的评估结果,并且适用于现实世界的应用。

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