Comparing inconsistency of pairwise comparison matrices depending on entries

Bice Cavallo, Alessio Ishizaka, Maria Grazia Olivieri and Massimo Squillante

Journal of the Operational Research Society, 2019, vol. 70, issue 5, 842-850

Abstract: Pairwise comparisons have been a long-standing technique for comparing alternatives/criteria and their role has been pivotal in the development of modern decision-making methods. Since several types of pairwise comparison matrices (e.g., multiplicative, additive, fuzzy) are proposed in literature, in this paper, we investigate, for which type of matrix, decision-makers are more coherent when they express their subjective preferences. By performing an experiment, we found that the additive approach provides the worst level of coherence.

Date: 2019
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DOI: 10.1080/01605682.2018.1464427

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