Statistical data analysis often entails various uncertainties. Fuzzy numbers help address these complexities, enabling generalized statistical methods. We propose enhancing fuzzy estimators by integrating a general epistemic mechanism. Our approach, validated through simulation studies, offers a flexible solution for fuzzy data analysis.
A Bayesian Modeling Approach to Fuzzy Data Analysis
Calcagni', Antonio
;
2024
Abstract
Statistical data analysis often entails various uncertainties. Fuzzy numbers help address these complexities, enabling generalized statistical methods. We propose enhancing fuzzy estimators by integrating a general epistemic mechanism. Our approach, validated through simulation studies, offers a flexible solution for fuzzy data analysis.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
978-3-031-65993-5_7.pdf
non disponibili
Tipologia:
Published (publisher's version)
Licenza:
Accesso privato - non pubblico
Dimensione
441.25 kB
Formato
Adobe PDF
|
441.25 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
