Outranking digraphs; Algorithmic secision theory; Multiple criteria decision aid
Abstract :
[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.
Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Author, co-author :
Bisdorff, Raymond ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Language :
English
Title :
Digraph3 Python Software Collection
Publication date :
16 June 2020
Creation date :
2013
Technical description :
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
