A hardware digital fuzzy inference engine using standard integrated circuits

Abstract

The paper describes a general-purpose board-level fuzzy inference engine intended primarily for experimental and educational applications. The components are all standard TTL integrated circuits (7400 series) and CMOS RAMs (CY7C series). The engine processes 16 rules in parallel with two antecedents and one consequent per rule. The design may easily be scaled to accommodate more or fewer rules. Static RAMs are used to store membership functions of both antecedent and consequent variables. “Min-max” composition is used for inferencing, and for defuzzification, the mean of maxima strategy is used. Simulation on VALID CAE software predicts that the engine is capable of performing up to 1.56 million fuzzy logic inferences per second.