Fuzzy Classification Aggregation

Federico Fioravanti

No 312, Working Papers from Red Nacional de Investigadores en Economía (RedNIE)

Abstract: We consider the problem where a set of individuals has to classify m objects into p categories and does so by aggregating the individual classifications. We show that if m = 3, m = p = 2, and classificationsare fuzzy, that is, objects belong to a category to a certain degree, then an independent aggregator rule that satisfies a weak unanimity condition belongs to the family of Weighted Arithmetic Means. Wealso obtain characterization results for m = p = 2.

Keywords: Classification Aggregation; Weighted Arithmetic Mean; Fuzzy Setting. (search for similar items in EconPapers)
JEL-codes: D71 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2024-03
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https://rednie.eco.unc.edu.ar/files/DT/312.pdf (application/pdf)

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Working Paper: Fuzzy Classification Aggregation (2025)
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