EFS Approaches for Regression and Classification

This chapter deals with an analytical description and comparison of several well-known evolving fuzzy systems approaches. Even though most of these methods were originally designed for regression problems, some of these were also extended to classification tasks. The list of methods we are dealing with includes Most of these approaches rely on some methods demonstrated in Chapter 2 for calculating statistical measures and (non-)linear parameters in incremental manner. However, each one of these exploits apply different mechanisms for rule evolution and incremental learning of antecedent parameters and also combine these differently with the learning scheme of the consequent parts. In this sense, we will give a detailed description of the specific characteristics of the various methods.