Generalization of fuzzy inference system based on boolean and kleenean relations FIS-BKR for modelling and control

Abstract

Fuzzy logic emerges as an important tool in modelling control systems. For this reason, it is necessary to find methodologies involving fuzzy inference and allow to obtain levels of accuracy and interpretability accordance with design requirements. This paper proposes the generalization of a Fuzzy Inference System based on Boolean and Kleenean relations (FIS-BKR) from the conceptual expansion of the virtual actuator.