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Article type: Research Article
Authors: Koczkodaj, Waldemar W. | Kosiek, Marek | Szybowski, Jacek | Xu, Ding
Affiliations: Computer Science, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON P3E 2C6, Canada. [email protected] | Jagiellonian University, Department of Mathematics and Computer Science, Prof. St. Łojasiewicza 6, 30-348 Kraków, Poland. [email protected] | AGH University of Science and Technology, Faculty of Applied Mathematics, al. Mickiewicza 30, 30-059 Kraków, Poland. [email protected] | Computer Science, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON P3E 2C6, Canada
Note: [] Address for correspondence: Computer Science, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON P3E 2C6, Canada
Note: [] Also works: State Higher Vocational School in Nowy Sacz, Staszica 1, 33-300, Nowy Sacz, Poland
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.
Keywords: pairwise comparisons, distance-based inconsistency, convergence, knowledge management
DOI: 10.3233/FI-2015-1184
Journal: Fundamenta Informaticae, vol. 137, no. 3, pp. 355-367, 2015
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