Expert classification aggregation

Federico Fioravanti

Mathematical Social Sciences, 2025, vol. 137, issue C

Abstract: We consider the problem where a set of individuals has to classify m objects into p categories by aggregating the individual classifications, and no category can be left empty. An aggregator satisfies Expertise if individuals are decisive either over the classification of a given object, or the classification into a given category. We show that requiring an aggregator to satisfy Expertise (or variants of it) and be either unanimous or independent leads to numerous impossibility results.

Keywords: Classification aggregation; Expertise (search for similar items in EconPapers)
Date: 2025
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Working Paper: Expert Classification Aggregation (2025)
Working Paper: Expert Classification Aggregation (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matsoc:v:137:y:2025:i:c:s0165489625000216

DOI: 10.1016/j.mathsocsci.2025.102406

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