Linguistic Information in Dynamical Fuzzy Systems - An Overview

This paper gives an overview on the study of using linguistic information in the dynamical fuzzy systems. We introduce the Linguistic Information Feed-Back-based Dynamical Fuzzy System (LIFBDFS) and Linguistic Information Feed-Forward-based Dynamical Fuzzy System (LIFFDFS), in which the past fuzzy inference output represented by a membership function is fed back and forward, respectively. Their, principles, structures, and learning algorithms are also presented. Both the LIFBDPS and LIFFDF'S can overcome the common static mapping drawback of conventional fuzzy systems. They have the distinguished advantage of inherent, dynamics, and are, therefore, well suited for handling temporal problems, such as process modeling and control. Our survey paper provides a, general guideline for interested readers to choose, design, and apply these linguistic information feed-back- and feed-forward-based dynamical fuzzy systems in engineering.