The Predictive Power of the Self Explicated Approach and the Analytic Hierarchy Process: A Comparison

The Analytic Hierarchy Process uses pairwise comparisons to determine the weights of criteria and the desirability of the levels. In the Self Explicated Approach the decision maker rates them explicitly. In this study we have compared the predictive power of these two approaches. The predictive power of both methods is tested with respect to the choice, the ranking and the preference scores of two sets of alternatives. The results of the laboratory study with 180 participants indicate that the Self Explicated approach, even with less input data, can show better results than the Analytic Hierarchy Process.