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Design and implementation of a hardware fuzzy inference system

Authors
Journal
Information Sciences - Applications
1069-0115
Publisher
Elsevier
Publication Date
Volume
3
Issue
3
Identifiers
DOI: 10.1016/1069-0115(94)00042-z
Disciplines
  • Design
  • Logic

Abstract

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.

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