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Algorithmic Decision Making with Python Resources

From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs

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384 pages
Reading time
14 hours

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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.

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Algorithmic Decision Making with Python Resources, Raymond Bisdorff

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Released
2022
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(Hardcover)
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