Comparing inconsistency of pairwise comparison matrices depending on entries

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

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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.
Original languageEnglish
Pages (from-to)842-850
Number of pages17
JournalJournal of the Operational Research Society
Issue number5
Early online date30 Apr 2018
Publication statusPublished - May 2019


  • WNU
  • Multi-criteria decision making
  • Pairwise Comparison Matrix
  • Consistency evaluation
  • Abelian linearly ordered group
  • Behavioral Operations Research


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