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Eigenvector ranking method as a measuring tool: Formulas for errors

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  • Tomashevskii, I.L.

Abstract

The eigenvector method (EM) is well-known to derive information from pairwise comparison matrices in decision making processes. However, this method is logically incomplete since its actual numerical error is unknown and its reliability is doubted by such phenomena as “right–left asymmetry”, “rank reversal”, and reversal of “order of intensity of preference”.

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  • Tomashevskii, I.L., 2015. "Eigenvector ranking method as a measuring tool: Formulas for errors," European Journal of Operational Research, Elsevier, vol. 240(3), pages 774-780.
    • Handle: RePEc:eee:ejores:v:240:y:2015:i:3:p:774-780
    DOI: 10.1016/j.ejor.2014.07.050
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    8. Marcin Anholcer & János Fülöp, 2019. "Deriving priorities from inconsistent PCM using network algorithms," Annals of Operations Research, Springer, vol. 274(1), pages 57-74, March.
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