Affiliations: [a] Beedie School of Business, Simon Fraser University, Burnaby, B. C., Canada. [email protected], [email protected] | [b] TNO Organisation for Applied Scientific Research, The Hague, The Netherlands
Correspondence:
[†]
Address for correspondence: Beedie School of Business, Simon Fraser University, Burnaby, B. C., Canada, V5A 1S6
Note: [*] Financial support necessary for this project was provided by The Natural Sciences and Engineering Research Council of Canada, Simon Fraser University and TNO Organisation for Applied Scientific Research. The authors thank the anonymous reviewers for valuable suggestions. As well, we thank Mohammed Alqarni and the Editors for assistance in formatting the pre-publication file.
Abstract: The true pairwise comparison matrix is simulated and used as a benchmark for evaluating different priority vectors derived from a decision maker’s pairwise comparison matrix. The accuracy of the decision maker’s comparisons are progressively improved until they emulate the true values. Using four different distance measures to evaluate five different methods of deriving priorities, the geometric mean, normalized column mean, and right eigenvector techniques are more accurate. All methods exhibit rare reversals in accuracy as the comparison values approach the true values.
Keywords: Ratio comparison matrices, accuracy, priority vectors
