evreg:Evidential Regression
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).
