Axiomatic foundation of the analytic hierarchy process
Management Science
Remarks on the analytic hierarchy process
Management Science
Reply to “remarks on the analytic hierarchy process” by J. S. Dyer
Management Science
A statistical look at Saaty's method of estimating pairwise preferences expressed on a ratio scale
Journal of Mathematical Psychology
Management Science
A theory of ratio magnitude estimation
Journal of Mathematical Psychology
Reduction invariance and Prelec's weighting functions
Journal of Mathematical Psychology
The irony of measurement by subjective estimations
Journal of Mathematical Psychology
The Analytic Hierarchy Process--An Exposition
Operations Research
Preference Foundations for Nonexpected Utility: A Generalized and Simplified Technique
Mathematics of Operations Research
Anniversary Article: Decision Analysis in Management Science
Management Science
A Semiring-based study of judgment matrices: properties and models
Information Sciences: an International Journal
International Journal of Wireless Networks and Broadband Technologies
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The analytic hierarchy process (AHP) is a decision-making procedure widely used in management for establishing priorities in multicriteria decision problems. Underlying the AHP is the theory of ratio-scale measures developed in psychophysics since the middle of the last century. It is, however, well known that classical ratio-scaling approaches have several problems. We reconsider the AHP in the light of the modern theory of measurement based on the so-called separable representations recently axiomatized in mathematical psychology. We provide various theoretical and empirical results on the extent to which the AHP can be considered a reliable decision-making procedure in terms of the modern theory of subjective measurement.