Inconsistency thresholds for incomplete pairwise comparison matrices

نویسندگان

چکیده

Pairwise comparison matrices are increasingly used in settings where some pairs missing. However, there exist few inconsistency indices for similar incomplete data sets and no reasonable measure has an associated threshold. This paper generalises the famous rule of thumb acceptable level inconsistency, proposed by Saaty, to pairwise matrices. The extension is based on choosing missing elements such that maximal eigenvalue matrix minimised. Consequently, well-established values random index cannot be adopted: found function size number elements, with a nearly linear dependence case latter variable. Our results can directly built into decision-making software practitioners as statistical criterion accepting or rejecting matrix.

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ژورنال

عنوان ژورنال: Omega

سال: 2022

ISSN: ['1873-5274', '0305-0483']

DOI: https://doi.org/10.1016/j.omega.2021.102576