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Ranking with Multiple Incommensurable Criteria

In: Algorithmic Decision Making with Python Resources

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  • Raymond Bisdorff

Abstract

The Digraph3 python resources provide several algorithms for solving the multiple incommensurable criteria ranking problem via bipolar-valued outranking digraphs. The Copeland, NetFlows, Kemeny, Slater, Kohler, and the RankedPairs ranking rules are introduced and illustrated with a random outranking digraph.

Suggested Citation

  • Raymond Bisdorff, 2022. "Ranking with Multiple Incommensurable Criteria," International Series in Operations Research & Management Science, in: Algorithmic Decision Making with Python Resources, chapter 0, pages 97-113, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-90928-4_8
    DOI: 10.1007/978-3-030-90928-4_8
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