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Some Consistency Results for Many-Valued Judgment Aggregation

Journal Article Number 1 Logic in Computer Science

Abstract

Judgment aggregation (JA) poses the problem of finding a consistent collec- tive judgment for a set of logically related propositions based on judgments of individuals. There are well-known impossibility results for classical JA, which have recently been extended to non-classical logics, including many-valued log- ics. We complement these negative results with some positive results. We first study average aggregation, which is arguably the most natural rule in a many- valued setting, and show how to generate consistent aggregated judgments in either Kleene-Zadeh or Łukasiewicz logic for certain types of agendas. We then generalize these results to a wider class of aggregation rules applied to judg- ments using Kleene-Zadeh and Gödel logic by imposing a restricted systematic- ity condition. Finally, we introduce median aggregation and show a possibility result that applies to arbitrary many-valued logics by generalizing List’s profile condition of unidimensional alignment to a many-valued setting.

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Context

Venue
IfCoLog Journal of Logics and their Applications
Archive span
2014-2026
Indexed papers
633
Paper id
642476872484908373