Design and implementation of a hardware fuzzy inference system

Abstract

This paper discusses the design of a dedicated hardware fuzzy inference system based on the generalized modus ponens (GMP) inference rule, the “mini” fuzzy implication function, the “max-min” fuzzy composition rule, and the center of gravity (COG) defuzzification method. As a special case, the implementation of a two-input (antecedents), one-output (consequent) fuzzy inference system based on the general design idea was implemented on a single field programmable gate array (FPGA) chip with an extra EPROM for defuzzification. Circuitry details and performance data are included. Additional issues such as extendibility and adaptability are also discussed.