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Archimedean Choice Functions: An Axiomatic Foundation for Imprecise Decision Making
If uncertainty is modelled by a probability measure, decisions are typically made by choosing the option with the highest expected utility. If an imprecise probability model is used instead, this decision rule can be generalised in several ways. We here focus on two such generalisations that apply t...
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| Publicado no: | Information Processing and Management of Uncertainty in Knowledge-Based Systems |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7274763/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50143-3_15 |
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