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Tomashevskii, I. L. (2014). Geometric mean method for judgement matrices: Formulas for errors. arXiv e-prints, 
Added by: Klaus D. Goepel (06 Jun 2019 13:16:36 Asia/Singapore)   Last edited by: Klaus D. Goepel (08 Jun 2019 05:34:38 Asia/Singapore)
Resource type: Journal Article
BibTeX citation key: Tomashevskii2014
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Categories: AHP/ANP
Keywords: eigenvector method (EVM), geometric mean method, measurement, uncertainty
Creators: Tomashevskii
Collection: arXiv e-prints
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Abstract
The geometric mean method (GMM) and the eigenvector method (EM) are well-known ap-proaches to deriving information from pairwise comparison matrices in decision making pro-cesses. However, the original algorithms of these methods are logically incomplete and have significant drawbacks: their actual numerical errors are unknown and their reliability is doubted by different rank reversal phenomena including the GMM-EM ones.
  
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