An adaptive fuzzy logic: fuzzy squared

Abstract

This paper introduces a "continuous logic" constructed as a weighted sum of fuzzy AND and OR logics, called fuzzy squared. In order to provide adaptability to it, a parameter must be selected. A network model and a modified genetic algorithm are considered to meet the fuzzy squared logic needs. Simulations demonstrate that this logic can learn the behavior of a simple logic as well as of nonlinear control systems.