Outranking digraphs; Python3 modules; Algorithmic Decision Theory
Résumé :
[en] In this part of the Digraph3 documentation, we provide an insight in computational enhancements one may get when working in a bipolar-valued epistemic logical framework, like easily coping with missing data and uncertain criterion significance weights, computing valued ordinal correlations between bipolar-valued outranking digraphs, solving bipolar-valued Berge kernel equation systems, and testing for stability of outranking statements when facing only ordinal criteria significance weights.
Centre de recherche :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Sciences informatiques
Auteur, co-auteur :
BISDORFF, Raymond ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Langue du document :
Anglais
Titre :
Digraph3 Documentation: Pearls of bipolar-valued epistemic logic