Fuzzy hardware synthesis with generic LR fuzzy cells

Chao Lieh Chen, Yau Hwang Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel primitive cell structure, called the LR fuzzy cell for hardware realization of fuzzy reasoning or other fuzzy computations is proposed. An LR fuzzy cell is an integral unit encapsulating an LR fuzzy set and a basic fuzzy operation like implication or an arithmetic operation. Using the LR fuzzy cells, we can synthesize high-performance fuzzy systems including fuzzy ASICs and general-purposed fuzzy processors in a fast and systematic way. The synthesized fuzzy systems inherently possess parallel inference ability. The system expandability and modifiability are also warrantable. The proposed generic LR fuzzy cells are implemented with current mode analog technology. By this technology, a fuzzy processor design based on this cell structure possesses the characteristics including small circuit area, high performance, low power dissipation, etc.

Original languageEnglish
Title of host publicationProceedings - 1995 2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, ANNES 1995
EditorsGeorge Coghill, Nikola K. Kasabov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-131
Number of pages4
ISBN (Electronic)0818671742, 9780818671746
DOIs
Publication statusPublished - 1995 Jan 1
Event2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, ANNES 1995 - Dunedin, New Zealand
Duration: 1995 Nov 201995 Nov 23

Publication series

NameProceedings - 1995 2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, ANNES 1995

Conference

Conference2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, ANNES 1995
Country/TerritoryNew Zealand
CityDunedin
Period95-11-2095-11-23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications

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