An Empirical Analysis of Methods to Construct Indices for Consistent Multiple Comparisons
This paper presents an empirical analysis of the response of several methods proposed in literature to construct indices for consistent multiple comparison. In this article we consider also the close formal connection between the comparison of preference judgements and the comparison of economic aggregates. The work limits the attention exclusively to the consistency of the various technique and skips any aspect of economic nature. To evaluate the various scaling methods, we have used official data furnished by Eurostat and Istat (Italian Statistical Institute), consequently our analysis is based on real-life data and not on simulations as is usually the case in study in this kind. The most important results that we have achieved are the close concordance of the weights obtained with the various methods and the robustness of the evaluations performed.
|Date of creation:||Oct 2004|
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- Lootsma, Freerk A., 1997. "Multicriteria decision analysis in a decision tree," European Journal of Operational Research, Elsevier, vol. 101(3), pages 442-451, September.
- Guitouni, Adel & Martel, Jean-Marc, 1998. "Tentative guidelines to help choosing an appropriate MCDA method," European Journal of Operational Research, Elsevier, vol. 109(2), pages 501-521, September.
- Golany, B. & Kress, M., 1993. "A multicriteria evaluation of methods for obtaining weights from ratio-scale matrices," European Journal of Operational Research, Elsevier, vol. 69(2), pages 210-220, September.
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