Selection by pairwise comparisons with limited resources
classification
❄️ cond-mat.stat-mech
cond-mat.dis-nnnlin.AOphysics.data-anphysics.soc-ph
keywords
comparisonsmethodspairwiseanalyzebenchmarkcaseconsiderationdesign
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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 {\it ran-fil} requires no previous knowledge on the set under consideration, yet displaying good performances even in the least favorable case. The {\it min-ent} method sets a benchmark for optimal dynamic tournaments design.
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