Statisticam approaches for consistency index in analytical hierarchy process

Amalia Handayani, F. Farikhin, Bayu Surarso
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Abstract

This study presents a method for estimating a new Random Index (RI) value to determine the acceptance or rejection of matrices in the Analytic Hierarchy Process, using the Saaty scale. The proposed RI values are compared to the matrix consistency levels of other researchers who conducted experiments with similar numbers and matrix orders. In the case of 1000 experiments, our values showed a slight improvement compared to those of Golden and Wang. For the 2500-experiment case, our values were similar to those reported by Lane and Verdine. Lastly, in the 100,000-experiment case, our values exhibited a slight improvement compared to those obtained by Alonso and Lamata. We welcome further suggestions and encourage future research in this area.
分析层次过程中一致性指数的统计方法
本研究提出了一种估算新的随机指数 (RI) 值的方法,以使用 Saaty 量表确定矩阵在层次分析法中的接受或拒绝。我们将提出的 RI 值与其他研究者的矩阵一致性水平进行了比较,这些研究者使用了相似的数量和矩阵顺序进行了实验。在 1000 次实验的情况下,与 Golden 和 Wang 的数值相比,我们的数值略有提高。在 2500 次实验的情况下,我们的数值与 Lane 和 Verdine 报告的数值相似。最后,在 100,000 次实验的情况下,我们的数值与阿隆索和拉马塔的数值相比略有提高。我们欢迎更多的建议,并鼓励未来在这一领域的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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