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- W2469347661 abstract "Abstract This paper introduces a new class of representations for incomplete preferences called confidence models. Confidence models describe decision makers who behave as if they have probabilistic uncertainty over their true preferences, and are only willing to express a binary preference if it is sufficiently likely to hold. Confidence models provide a natural way to connect incomplete preferences with stochastic choice. This connection is characterized by a simple joint condition on an incomplete preference relation and a random choice rule." @default.
- W2469347661 created "2016-07-22" @default.
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- W2469347661 date "2016-09-01" @default.
- W2469347661 modified "2023-09-26" @default.
- W2469347661 title "Confidence models of incomplete preferences" @default.
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- W2469347661 doi "https://doi.org/10.1016/j.mathsocsci.2016.06.005" @default.
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