A Fuzzy Modelling with Iterative Mechanism with Stepwise Narrowing of Precedent

Abstract

In this paper, we improve the iterative rule generation mechanism for fuzzy modelling. First,to get a more accurate model, an precedent narrowing algorithm is proposed. Next, a random sampling method is also introduced to obtain errors of each candidate models to make modelling faster. According to the results of simulations, these methods work effectively enough.