Algorithmic Decision Making with Python Resources:
From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs
English | 2022 | ISBN: 3030909271 | 366 Pages | PDF | 10 MB
From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs
English | 2022 | ISBN: 3030909271 | 366 Pages | PDF | 10 MB
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).

