On the use of information criteria in analytic hierarchy process |
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| Institution: | 1. Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands;2. Department of Biomonitoring and Sensoring, University of Groningen, Antonius Deasinglaan 1, 9713 AV Groningen, The Netherlands;3. Laboratory Medicine, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands;4. Institutes of Molecular Physiology and Genetics and Experimental Endocrinology, Slovak Academy of Sciences, Bratislava, Slovakia;5. Brains On-Line, P.O. Box 4030, 9701 EA Groningen, The Netherlands;6. Director Scientific Affairs, PRA Health Sciences, Stationsweg 163, P.O. Box 200, 9470 AE Zuidlaren, The Netherlands;7. University Center of Psychiatry, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands;1. Division of Endocrinology, Yale University School of Medicine;2. Yale School of Public Health;3. Department of Radiology, Yale PET Center, Yale University School of Medicine;4. Departments of Radiology and Psychiatry, New York University School of Medicine |
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| Abstract: | In this article, we discuss how the model-selection procedures such as Akaike's information criteria (AIC) can be used for selecting the most appropriate one out of several existing statistical models in the literature for the judgment data used in analytic hierarchy process (AHP). Furthermore, once the appropriate model is selected, a procedure is proposed on the basis of AIC for statistical ranking of the alternatives. This ranking procedure does not suffer from the problem of intransitivity and can be based on non-normal distribution. It enables one to obtain the detailed pattern for the ordered priorities of the alternatives in the decision process involving AHP. |
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