Title
Fast Convergence of Distance-based Inconsistency in Pairwise Comparisons
Abstract
This study presents theoretical proof and empirical evidence of the reduction algorithm convergence for the distance-based inconsistency in pairwise comparisons. Our empirical research shows that the convergence very quick. It usually takes less than 10 reductions to bring the inconsistency of the pairwise comparisons matrix below the assumed threshold of 1/3 sufficient for most applications. We believe that this is the first Monte Carlo study demonstrating such results for the convergence speed of inconsistency reduction in pairwise comparisons.
Year
DOI
Venue
2015
10.3233/FI-2015-1184
Fundam. Inform.
Keywords
Field
DocType
pairwise comparisons,distance-based inconsistency,convergence,knowledge management
Convergence (routing),Applied mathematics,Discrete mathematics,Pairwise comparison,Monte Carlo method,Mathematical optimization,Empirical evidence,Matrix (mathematics),Algorithm convergence,Mathematics,Empirical research
Journal
Volume
Issue
ISSN
137
3
0169-2968
Citations 
PageRank 
References 
7
0.71
6
Authors
4
Name
Order
Citations
PageRank
Waldemar W. Koczkodaj1628100.50
Marek Kosiek270.71
J. Szybowski3438.45
Ding Xu470.71