Outranking digraphs; Algorithmic secision theory; Multiple criteria decision aid
Résumé :
[en] Python3 resources for implementing decision aid algorithms in the context of a bipolar-valued outranking approach. These computing resources are useful in the field of Algorithmic Decision Theory and more specifically in outranking based Multiple Criteria Decision Aid (MCDA). They provide the practical tools for a Master Course on Algorithmic Decision Theory at the University of Luxembourg.
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 Python Software Collection
Date de publication/diffusion :
01 octobre 2025
Date de création :
2013
Description technique :
Collection of Python3 modules and dependencies to be best used on Linux (Ubuntu( and MacOS with Python 3.8+ Documentation: http://hdl.handle.net/10993/37886
