Comparison of statistical procedures in analytic hierarchy process using a ranking test

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Abstract

Several statistical procedures for estimation of the priority parameters in the setup of the Analytic Hierarchy Process (AHP) exist in the literature. The purpose of this article is to make appropriate comparisons of such statistical methods. Pairwise comparison matrices are simulated using different statistical distributions of the error part used in the procedures. Priority parameters are estimated for each simulated pairwise comparison matrix using the method suggested. Standard nonparametric statistical procedures are applied to check whether the order of the priority estimates is consistent with that of their parameter values irrespective of the choice of particular statistical procedure. Statistical procedures based on the reciprocal matrices are also compared with the eigenvalue method.

Keywords

Iteration procedures
Maximum likelihood estimation
Priority weights
Rank-based procedures
Uniformly minimum variance unbiased estimation

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The author wishes to thank an anonymous referee of another article for suggesting the topic of this article.