Evidential Regression
Finds a belief interval centered on mu for a Gaussian random fuzzy num...
Degree of belief of interval for a Gaussian random fuzzy number
Combination of Gaussian random fuzzy numbers
Training the ENNreg model
Hyperparameter tuning for the ENNreg model using cross-validation
Hyperparameter tuning for the ENNreg model using the hold-out method
Parameter initialization for the ENNreg model
evreg: Evidential Regression
Computation of prediction intervals from a trained ENNreg model
Degree of plausibility of interval for a Gaussian random fuzzy number
Contour function of a Gaussian random fuzzy number
Prediction method for the ENNreg model
An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.1109/TFUZZ.2023.3268200>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).