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.

Comparing inconsistency of pairwise comparison matrices depending on entries / Cavallo, Bice; Ishizaka, Alessio; Olivieri, Maria Grazia; Squillante, Massimo. - In: JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY. - ISSN 0160-5682. - 70:5(2019), pp. 842-850. [10.1080/01605682.2018.1464427]

Comparing inconsistency of pairwise comparison matrices depending on entries

Cavallo, Bice
;
2019

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.
2019
Comparing inconsistency of pairwise comparison matrices depending on entries / Cavallo, Bice; Ishizaka, Alessio; Olivieri, Maria Grazia; Squillante, Massimo. - In: JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY. - ISSN 0160-5682. - 70:5(2019), pp. 842-850. [10.1080/01605682.2018.1464427]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/723285
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