Reference : Digraph3 Python Software Collection
Computer developments : Software
Engineering, computing & technology : Computer science
Computational Sciences
Digraph3 Python Software Collection
Bisdorff, Raymond mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
[en] Outranking digraphs ; Algorithmic secision theory ; Multiple criteria decision aid
[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.
University of Luxembourg: High Performance Computing - ULHPC
Researchers ; Professionals ; Students ; General public
Collection of Python3 modules and dependencies to be best used on Linux (Ubuntu( and MacOS with Python 3.8+ Documentation:

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Digraph3-master4Nov20.zipPython 3.9.0 compatiblePublisher postprint106.46 MBView/Open

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