On weakly ordering by choosing from valued pairwise outranking situations

Scientific Conference (2014, January 31)

Documentation of the Digraph3 Python software resources

Software (2014)

On polarizing outranking relations with large performance differences

in Journal of Multi-Criteria Decision Analysis (2013), 20

Algorithmic Decision Theory

Scientific Conference (2012, December)

On polarizing outranking relations with large performance differences

Scientific Conference (2012, February)

K-Sorting with multiple ordinal criteria

Scientific Conference (2011, February 10)

A Clustering Approach using Weighted Similarity Majority Margins

in Advanced Data Mining and Applications ADMA, Beijing spring 2013 (2011)

We propose a meta-heuristic for clustering objects that are described on multiple incommensurable attributes of nominal, ordinal and/or cardinal type. Our approach makes use of an innovative bipolar ... [more ▼]

We propose a meta-heuristic for clustering objects that are described on multiple incommensurable attributes of nominal, ordinal and/or cardinal type. Our approach makes use of an innovative bipolar-valued dual similarity-dissimilarity relation characterized by pairwise weighted majority margins of similar minus dissimilar attribute evaluations. The clustering is computed in two steps. First, an evolutionary algorithm searches for a suitable subset of maximal similarity cliques that will best serve as cluster cores. In a second step, we construct with a greedy heuristic, around these initial cluster cores, a corresponding final partition which best fits the given bipolar-valued similarity relation. [less ▲]

On detecting and enumerating chordless circuits in a digraph

E-print/Working paper (2010)

Inverse analysis from a Condorcet robustness denotation of valued outranking relations

in Rossi, Francesca; Tsoukiás, Alexis (Eds.) Algorithmic Decision Theory (2009)

In this chapter 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 ... [more ▼]

In this chapter 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. [less ▲]

Disaggregation of bipolar-valued outranking relations

in Le Thi, Hoai An; Bouvry, Pascal; Pham Dinh, Tao (Eds.) Modelling, Computation and Optimization in Information Systems and Management Sciences (2008, August 28)

In this article, we tackle the problem of exploring the structure of the data which is underlying a bipolar-valued outranking relation. More precisely, we show how the performances of alternatives and ... [more ▼]

In this article, we tackle the problem of exploring the structure of the data which is underlying a bipolar-valued outranking relation. More precisely, we show how the performances of alternatives and weights related to criteria can be determined from three different formulations of the bipolar-valued outranking relations, which are given beforehand. [less ▲]