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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 Email resource to friend View all bibliographic details  |
Categories: AHP/ANP Keywords: eigenvector method (EVM), geometric mean method, measurement, uncertainty Creators: Tomashevskii Collection: arXiv e-prints |
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| Abstract |
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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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