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Some Remarks on the Mean-Based Prioritization Methods in AHP

  • Konrad KułakowskiEmail author
  • Anna Kȩdzior
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9875)

Abstract

EVM (eigenvector method) and GMM (geometric mean method) are probably the two most popular priority deriving techniques for AHP (Analytic Hierarchy Process). Although much has already been discussed about these methods, one frequently repeated question is: what do they have in common? In this paper we show that both these methods can be constructed based on the same principle that the priority of one alternative should correspond to the weighted mean of priorities of other alternatives. We also show how the accepted principle can be used to construct priority deriving methods for the generalized (non-reciprocal) pairwise comparisons matrices.

Keywords

Decision making MCDM AHP Eigenvalue method Geometric mean method Pairwise comparisons 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical EngineeringAGH University of Science and TechnologyCracowPoland
  2. 2.Faculty of Applied MathematicsCracowPoland

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