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A possibilistic analogue to Bayes estimation with fuzzy data and its application in machine learning
A Bayesian approach in a possibilistic context, when the available data for the underlying statistical model are fuzzy, is developed. The problem of point estimation with fuzzy data is studied in the possibilistic Bayesian approach introduced. For calculating the point estimation, we introduce a met...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019817/ https://www.ncbi.nlm.nih.gov/pubmed/35465466 http://dx.doi.org/10.1007/s00500-022-07021-y |