Learning fuzzy hyper-rectangles with instance and neural based methods
Lucas Baggio Figueira, F.O.S. Sa Lisboa, Maria do Carmo Nicoletti · IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. · 2004
The NGE model is an instance-based inductive learning method that generalizes a given training set into hypotheses represented as a set of hyper-rectangles in a n-dimensional Euclidean space. The RuleNet model does exactly the same thing, but using a neural network algorithm. This paper focuses on a fuzzy version of both algorithms aiming at comparing their performances.