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Selection by pairwise comparisons with limited resources

Author

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  • Laureti, Paolo
  • Mathiesen, Joachim
  • Zhang, Yi-Cheng

Abstract

We analyze different methods of sorting and selecting a set of objects by their intrinsic value, via pairwise comparisons whose outcome is uncertain. After discussing the limits of repeated Round Robins, two new methods are presented: The ran-fil requires no previous knowledge on the set under consideration, yet displaying good performances even in the least favorable case. The min-ent method sets a benchmark for optimal dynamic tournaments design.

Suggested Citation

  • Laureti, Paolo & Mathiesen, Joachim & Zhang, Yi-Cheng, 2004. "Selection by pairwise comparisons with limited resources," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(3), pages 596-604.
  • Handle: RePEc:eee:phsmap:v:338:y:2004:i:3:p:596-604
    DOI: 10.1016/j.physa.2004.03.023
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    Cited by:

    1. Laureti, Paolo & Moret, Lionel & Zhang, Yi-Cheng, 2005. "Aggregating partial, local evaluations to achieve global ranking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 345(3), pages 705-712.

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    Keywords

    Tournament design; Information filtering;

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