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首页> 外文期刊>National Journal of System and Information Technology >AHP Rank Reversal, The impacts of scale, normalization and aggregation rules
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AHP Rank Reversal, The impacts of scale, normalization and aggregation rules

机译：AHP排名反转，规模，规范化和聚合规则的影响

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摘要

During recent years, existence of rank reversal after adding or deleting any of alternatives has been the main criticism of AHP. According to the literature, there are three factors that seemed to play a significant role in AHP rank reversal; 1. Additive function, 2. Measurement scale and 3. Normalization method. While, many researches tried to examine the effect of each of these factors individually, there is a lack of comprehensive approach to investigate effects of all factors together. Therefore, in this paper, we see all of the factors together. In addition, similarities and differences in the model behavior in case of adding copy of best and worst alternatives have been investigated. The findings of this study reveal that some methods better than others are. For instance, logarithmic scale (for different aggregation rules and normalization method) will show better performance than other scales (minimum rank reversal), etc.
机译：近年来，对AHP的主要批评是在添加或删除任何其他选择之后出现的排名反转。根据文献，有3个因素似乎在AHP排名逆转中起着重要作用。 1.附加功能，2.测量范围和3.归一化方法。虽然许多研究试图单独检查每个因素的影响，但缺乏综合的方法来一起研究所有因素的影响。因此，在本文中，我们将所有因素结合在一起。此外，已经研究了在添加最佳和最差替代品副本的情况下模型行为的异同。这项研究的发现表明，有些方法比其他方法更好。例如，对数标度（针对不同的聚合规则和归一化方法）将显示比其他标度（最小秩反转）等更好的性能。

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