| Abstract: | In this paper, we present a Bayesian approach to model uncertainty about a group's priorities in a multicriteria evaluation problem and develop a methodology to quantify amount of information provided by a sample of priorities. In so doing, we discuss how the quantification of the information content can be used to decide to elicit additional priorities from the group. We illustrate the implementation of our approach and discuss additional insights that it provides using real‐life data from an academic department's priority analysis. Copyright © 2013 John Wiley & Sons, Ltd. |
