2016
DOI: 10.1515/amcs-2016-0050
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The limit of inconsistency reduction in pairwise comparisons

Abstract: This study provides a proof that the limit of a distance-based inconsistency reduction process is a matrix induced by the vector of geometric means of rows when a distance-based inconsistent pairwise comparisons matrix is transformed into a consistent PC matrix by stepwise inconsistency reduction in triads. The distance-based inconsistency indicator was defined by Koczkodaj (1993) for pairwise comparisons. Its convergence was analyzed in 1996 (regretfully, with an incomplete proof) and finally completed in 201… Show more

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Cited by 23 publications
(12 citation statements)
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“…Some mathematical evidence, to support GM as the method of choice, was also provided in [16]. [17] shows that orthogonal projections have a limit which is GM (to a constant). [18] demonstrates that the inconsistency reduction algorithm based on the orthogonal projections converges very quickly for practical applications.…”
Section: Approximation By Projectionsmentioning
confidence: 99%
“…Some mathematical evidence, to support GM as the method of choice, was also provided in [16]. [17] shows that orthogonal projections have a limit which is GM (to a constant). [18] demonstrates that the inconsistency reduction algorithm based on the orthogonal projections converges very quickly for practical applications.…”
Section: Approximation By Projectionsmentioning
confidence: 99%
“…Koczkodaj's consistency index [36,42,46,47,[49][50][51][52][53][54]] not only measures the inconsistency, but it also shows where it is larger, thus guiding the DM to reassess and correct the inconsistency. Additionally, Bozóki and Rapcsák [46] investigated some properties of the PCs matrix inconsistencies of Saaty and Koczkodaj.…”
Section: Issues With Pairwisementioning
confidence: 99%
“…As a result, quality of perception of the comparisons will be reduced. To solve this problem, different ways to improve the consistency of judgements have been discussed [71,72]. Another solution is to use incomplete pairwise comparisons [73,74].…”
Section: Limitationsmentioning
confidence: 99%