Abstract
The quality of results from a predictor model depends on the proper customization of the parameters of the model. For Estimation by Analogy (EBA), the impact of the parameter Attribute weighting has been shown by several authors. The decision problem Which attribute weighting technique is preferable for EBA in which situation? is considered in this paper from the perspective of multi-criteria decision analysis (MCDA). The empirical results are given for the EBA method AQUA+.More specifically, two MCDA techniques, ELECTRE and Pareto-optimality are applied. Three evaluation criteria MMRE (Mean Magnitude of Relative Error), Pred (Prediction at certain accuracy level), and Strength are considered. We discuss the insights gained from this more in-depth decision analysis for the stated decision problem.
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