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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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Seitenzahl
384 Seiten
Lesezeit
14 Stunden

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Focusing on decision aiding algorithms, the book introduces Python3 programming resources known as Digraph3, designed for a bipolar-valued outranking approach. It serves as a valuable tool in Algorithmic Decision Theory, particularly within outranking-based Multiple-Criteria Decision Aiding (MCDA). The resources aim to enhance the implementation of decision-making processes, providing practical solutions for complex decision scenarios.

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Algorithmic Decision Making with Python Resources, Raymond Bisdorff

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Erscheinungsdatum
2023
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