Multi-Population Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems

The solutions proposed in this article are based on our experience with fuzzy systems (FSs), their interpretability, and population-based algorithms (PBAs). They provide a consistent approach to the design of interpretable FSs. First, PBAs can make a useful tool for selecting both parameters and the FS structure. In practice, such structure is usually chosen by trial and error. Second, in this art...