On the use of information criteria in analytic hierarchy process

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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.

Original languageEnglish (US)
Pages (from-to)200-216
Number of pages17
JournalEuropean Journal of Operational Research
Volume141
Issue number1
DOIs
StatePublished - Aug 17 2002

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Modeling and Simulation
  • Transportation

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