A re-examination of the algebraic properties of the AHP as a ratio-scaling technique
The Analytic Hierarchy Process (AHP) ratio-scaling approach is re-examined in view of the recent developments in mathematical psychology based on the so-called separable representations. The study highlights the distortions in the estimates based on the maximum eigenvalue method used in the AHP distinguishing the contributions due to random noises from the effects due to the nonlinearity of the subjective weighting function of separable representations. The analysis is based on the second order expansion of the Perron eigenvector and Perron eigenvalue in reciprocally symmetric matrices with perturbations. The asymptotic distributions of the Perron eigenvector and Perron eigenvalue are derived and related to the eigenvalue-based index of cardinal consistency used in the AHP. The results show the limits of using the latter index as a rule to assess the quality of the estimates of a ratio scale. The AHP method to estimate the ratio scales is compared with the classical ratio magnitude approach used in psychophysics.
|Date of creation:||2009|
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- Thomas L. Saaty, 1986. "Axiomatic Foundation of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 32(7), pages 841-855, July.
- Michele Bernasconi & Christine Choirat & Raffaello Seri, 2010.
"The Analytic Hierarchy Process and the Theory of Measurement,"
INFORMS, vol. 56(4), pages 699-711, April.
- Michele Bernasconi & Christine Choirat & Raffaello Seri, 2009. "The Analytic Hierarchy Process and the Theory of Measurement," Working Papers 2009_24, Department of Economics, University of Venice "Ca' Foscari".
- Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May. Full references (including those not matched with items on IDEAS)
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