• DocumentCode
    1660762
  • Title

    Fuzzy hardware synthesis with generic LR fuzzy cells

  • Author

    Chen, Chao-Lieh ; Kuo, Yau-Hwang

  • Author_Institution
    Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    1995
  • Firstpage
    128
  • Lastpage
    131
  • 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
  • Keywords
    analogue processing circuits; application specific integrated circuits; current-mode logic; fuzzy set theory; fuzzy systems; inference mechanisms; integrated circuit design; logic CAD; LR fuzzy set; arithmetic operation; current mode analog technology; fuzzy ASICs; fuzzy computations; fuzzy hardware synthesis; fuzzy reasoning; general-purposed fuzzy processors; generic LR fuzzy cells; high performance design; high-performance fuzzy systems; implication; integral unit; low power dissipation design; parallel inference ability; primitive cell structure; small circuit area design; system expandability; system modifiability; CMOS technology; Chaos; Circuit synthesis; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Hardware; Power dissipation; Process design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
  • Conference_Location
    Dunedin
  • Print_ISBN
    0-8186-7174-2
  • Type

    conf

  • DOI
    10.1109/ANNES.1995.499456
  • Filename
    499456