Title :
Fuzzy inference on an analog fuzzy chip
Author :
Miki, Tsutomu ; Yamakawa, Takeshi
Author_Institution :
Fac. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Iizuka, Japan
fDate :
8/1/1995 12:00:00 AM
Abstract :
Our analog fuzzy processor features an inference speed of more than 1 million fuzzy logical inferences per second, excluding defuzzification. A rule chip processes fuzzy inferences while a second chip handles defuzzification, a functional division that facilitates flexible system configuration. The chips are compact fuzzy systems that save chip area and are suitable for built-in applications. They process high-speed fuzzy logic operations in parallel mode and, during execution of fuzzy inferences, feature an adaptable fuzzy system based on a rule set
Keywords :
fuzzy logic; fuzzy systems; inference mechanisms; adaptable fuzzy system; analog fuzzy chip; defuzzification; flexible system configuration; fuzzy inference; rule chip; rule set; Application software; Central Processing Unit; Circuits; Concurrent computing; Coprocessors; Engines; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hardware;
Journal_Title :
Micro, IEEE