Algorithmic Decision Making with Python Resources: From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs

This book describes Python3 programming resources for implementing decision aiding algorithms in the context of a bipolar-valued outranking approach. These computing resources, made available under the name Digraph3, are useful in the field of Algorithmic Decision Theory and more specifically in outranking-based Multiple-Criteria Decision Aiding (MCDA).

The first part of the book presents a set of tutorials introducing the Digraph3 collection of Python3 modules and its main objects, such a...