arXiv
Open Access
2024
Expert Classification Aggregation
Federico Fioravanti
Abstrak
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 \emph{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 \emph{Expertise} (or variants of it) and be either unanimous or independent leads to numerous impossibility results.
Topik & Kata Kunci
Penulis (1)
F
Federico Fioravanti
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2024
- Bahasa
- en
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- arXiv
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- Open Access ✓