Javier Andreu-Perez

Evidential Rule Learning for Interpretable Classification with Abstention

Fast Evidential Rule Learning (FERL) is introduced, a method that learns interpretable, accurate fuzzy rule models whose outputs are evidential, and is Lipschitz stable, which means that its evidential outputs vary smoothly with the input.