Uncertainty quantification in logistic regression using random fuzzy sets and belief functions

Denœux, Thierry

doi:10.1016/j.ijar.2024.109159

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Uncertainty quantification in logistic regression using random fuzzy sets and belief functions

Cited by 8 publications

References 50 publications

Algebraic Expression for the Relative Likelihood-Based Evidential Prediction of an Ordinal Variable

Algebraic Expression for the Relative Likelihood-Based Evidential Prediction of an Ordinal Variable

Uncertainty Quantification in Regression Neural Networks Using Likelihood-Based Belief Functions

$$\textbf{r}$$-ERBFN: An Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence

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