In this article we develop an indirect approach for assessing criteria significance weights from the robustness of the significance that a decision maker acknowledges for his pairwise outranking statements in a Multiple Criteria Decision Aiding process. The main result consists in showing that with the help of a mixed integer linear programming model this kind of a priori knowledge is sufficient for estimating adequate numerical significance weights. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Bisdorff, R., Meyer, P., & Veneziano, T. (2009). Inverse analysis from a Condorcet robustness denotation of valued outranking relations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5783 LNAI, pp. 180–191). https://doi.org/10.1007/978-3-642-04428-1_16
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