Algorithmic Decision Making with Python Resources
From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs
- 384pagine
- 14 ore di lettura
Focusing on the implementation of decision aiding algorithms, this resource introduces Digraph3, a set of Python3 programming tools tailored for a bipolar-valued outranking approach. It serves as a valuable asset in Algorithmic Decision Theory, particularly in outranking-based Multiple-Criteria Decision Aiding (MCDA), providing practical computing resources for researchers and practitioners in the field.
