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Mathematical Support for the Geometric Mean when Deriving a Consistent Matrix from a Pairwise Ratio Matrix

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A ratio pairwise comparison matrix estimates another matrix of true ratios between objects. From the pairwise comparison matrix, various methods are used to derive a priority vector and associated consistent matrix that also estimates the matrix of true ratios. The distance from the consistent matrix and the true matrix measures the accuracy of a method. The geometric mean is shown to be the only method with error below a basic threshold while being invariant to any reordering and rescaling of columns. Besides being simple to calculate, the geometric mean has excellent performance and many desirable properties.
Rocznik
Strony
263--278
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
  • Beedie School of Business, Simon Fraser University, Burnaby, B.C., Canada
autor
  • Beedie School of Business, Simon Fraser University, Burnaby, B.C., Canada
  • TNO Organisation for Applied Scientific Research, The Hague, The Netherlands
Bibliografia
  • [1] Saaty TL. The Analytic Hierarchy Process, Planning, Piority Setting, Resource Allocation. New York: McGraw-Hill; 1980.
  • [2] Choo EU, Wedley WC. A common framework for deriving priority values from pairwise comparison matrices. Computers and Operations Research. 2004;31(6):893–908. doi:10.1016/S0305-0548(03)00042-X.
  • [3] Choo EU, Wedley WC. Estimating Ratio Scale Values when Units are Unspecified. Computers and Industrial Engineering Journal. 2010;59(2):200–208. doi:10.1016/j.cie.2010.04.001.
  • [4] Lin CC. A revised framework for deriving priority values from pairwise comparison matrices. European Journal of Operational Research. 2007;176(2):1145–1150. doi:10.1016/j.ejor.2005.09.022.
  • [5] Zahedi F. A simulation study of estimation methods in the analytic hierarchy process. Socio-Economic Planning Sciences. 1986;20(6):347–354. Available from: http://EconPapers.repec.org/RePEc:eee:soceps:v:20:y:1986:i:6:p:347-354.
  • [6] Bajwa G, Choo EU, Wedley WC. Effectiveness analysis of deriving priority vectors from reciprocal pairwise comparison matrices. Asia Pacific Journal of Operational Research. 2008;25(279):279–299. doi:10.1142/S0217595908001754.
  • [7] Schoner B, Wedley WC, Choo EU. A unified approach to AHP with linking pins. European Journal of Operational Research. 1993;64(3):387–392. doi:10.1016/0377-2217(93)90128-A.
  • [8] Saaty TL. Theory and Applications of the Analytic Network Process. RWS Publications, 4922 Ellsworth Avenue, Pittsburgh, PA 15213; 2005.
  • [9] Saaty TL. Relative measurement and its generalization in decision-making – Why pairwise comparisons are central in mathematics for the measurement of intangible factors: The Analytic Hierarchy/Network Process. RACSAM, Revista de la Real Academia de Ciencias Serie A: Matem´aticas. 2008;102(2):251–318. doi:10.1007/BF03191825.
  • [10] Crawford G, Williams C. A note on the analysis of subjective judgment matrices. Journal of Mathematical Psychology. 1985;29(4):387–405. doi:10.1016/0022-2496(85)90002-1.
  • [11] Fichtner J. On deriving priority vectors from matrices of pairwise comparisons. Socio-Economic Planning Sciences. 1986;20(6):341–345. Available from: http://EconPapers.repec.org/RePEc:eee:soceps:v:20:y:1986:i:6:p:341-345.
  • [12] Barzilai J. Deriving weights from pairwise comparison matrices. Journal of the Operational Research Society. 1997;48(2):1226–1233. doi:10.2307/3010752.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b8477117-f3af-4f78-a7f4-6d86125f34a8
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