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Fuzzy inference on an analog fuzzy chip

T. Miki, T. Yamakawa

Open publisher page 26 citations

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.>

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What this paper is about

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.>

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Available 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.>

Key concepts: Defuzzification, Computer science, Fuzzy logic, Fuzzy electronics, Fuzzy set operations, Fuzzy associative matrix, Fuzzy number, Fuzzy classification

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