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Issue title: Theory and Practice of Pairwise Comparisons
Guest editors: Ryszard Janicki and Konrad Kułakowski
Article type: Research Article
Authors: Pérez, Joaquín* | Mokotoff, Ethel
Affiliations: Departamento de Economía, Universidad de Alcalá, 28802, Alcalá de Henares, Madrid, Spain. joaquin.perez@uah.es, ethel.mokotoff@uah.es
Correspondence: [*] Address for correspondence: Departamento de Economía. Universidad de Alcalá. 28802 Alcalá de Henares. Madrid. Spain.
Abstract: This paper shows an example of strong rank reversal in group decision making. Decision makers have preferences expressed through a reciprocal paired comparison matrix. Every one of them applies the eigenvector priority function to her paired comparison matrix to obtain her individual priority vector and then a group priority vector is computed by any of the following two procedures: a) Averaging the already computed individual priority vectors, and b) Averaging the entries of the comparison matrices to obtain a group comparison matrix, and applying to it the eigenvector priority function. Strong rank reversal means that there is one alternative that has the highest priority for every decision maker, and consequently the highest priority in the averaged priority vector obtained by procedure (a), but loses such highest priority when procedure (b) is applied.
Keywords: Rank Reversal, Paired Comparison Matrix, Reciprocal matrix, AHP
DOI: 10.3233/FI-2016-1333
Journal: Fundamenta Informaticae, vol. 144, no. 3-4, pp. 255-261, 2016
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