Rule generation of fuzzy logic systems using a self-organized fuzzy neural network

摘要

This paper proposes an algorithm for creating rules of a fuzzy logic system using a neuro-fuzzy approach. The proposal is based on the results of Juang and Tsao who use a Fuzzy Neural Network (FNN) to generate rules and fuzzy sets from input data. A time series example is solved using our proposal, which is tested using statistical analysis of the residuals of the model. (C) 2014 Elsevier B.V. All rights reserved.