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A characterization of the prudent order preference function

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  • Lamboray, Claude

Abstract

We characterize a preference function that associates a set of prudent orders to a profile of linear orders. First, we prove that the set of prudent orders is the largest set verifying a particular list of axioms. By strengthening these axioms, the prudent order preference function can be fully characterized.

Suggested Citation

  • Lamboray, Claude, 2009. "A characterization of the prudent order preference function," Mathematical Social Sciences, Elsevier, vol. 57(3), pages 389-405, May.
  • Handle: RePEc:eee:matsoc:v:57:y:2009:i:3:p:389-405
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    References listed on IDEAS

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    1. Cook, Wade D., 2006. "Distance-based and ad hoc consensus models in ordinal preference ranking," European Journal of Operational Research, Elsevier, vol. 172(2), pages 369-385, July.
    2. Kenneth J. Arrow & Herve Raynaud, 1986. "Social Choice and Multicriterion Decision-Making," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262511754, April.
    3. Barbara, Salvador & Jackson, Matthew, 1988. "Maximin, leximin, and the protective criterion: Characterizations and comparisons," Journal of Economic Theory, Elsevier, vol. 46(1), pages 34-44, October.
    4. Claude Lamboray, 2009. "A prudent characterization of the Ranked Pairs Rule," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 32(1), pages 129-155, January.
    5. Denis Bouyssou & Thierry Marchant & Marc Pirlot & Alexis Tsoukiàs & Philippe Vincke, 2006. "Evaluation and Decision Models with Multiple Criteria," International Series in Operations Research and Management Science, Springer, number 978-0-387-31099-2, December.
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