Evolving Fuzzy Systems Based on Data Clouds

In this chapter, we introduce a class of EFSs based on data clouds, which are grounded at the AnYa fuzzy systems. By employing data clouds, the class of EFSs of AnYa type considered in this chapter avoids the way of defining membership functions for each input variable in an explicit manner, which is required by the Madami and TS fuzzy inference systems. The learning process of the class of EFSs of AnYa type is entirely data-driven. The modeling performance of the class of EFSs based on data clouds is evaluated with Box-Jenkins gas furnace problem, one nonlinear system identification problem, Mackey-Glass time series prediction problem, five real-world benchmark regression problems.