Sparse Fuzzy System Generation by Rule Base Extension

This paper aims the introduction and comparison of two novel fuzzy system generation methods that implement the concept of incremental Rule Base Extension (RBE). Both methods automatically obtain from given input-output data a low complexity fuzzy system with a sparse rule base.