Hardware Implementation of Fuzzy Flip-Flops Based on Łukasiewicz Norms

نویسندگان

  • RITA LOVASSY
  • ANTONIO HERNÁNDEZ ZAVALA
  • LÁSZLÓ GÁL
  • OSCAR CAMACHO NIETO
  • LÁSZLÓ T. KÓCZY
  • ILDAR BATYRSHIN
چکیده

The digital hardware implementation of various fuzzy operations furthermore of fuzzy flip-flops has been the subject of intense study and application. The fuzzy D flip-flop derived from fuzzy J-K one is a single input single output unit with sigmoid transfer characteristics in some particular cases, proper to use as neuron in a Fuzzy Neural Networks (FNN). In this paper we propose the hardware realization of fuzzy D flip-flops based on Łukasiewicz norms. Key-Words: Fuzzy Flip-Flop, Fuzzy Neuron, Fuzzy Neural Networks, Łukasiewicz Norms, Łukasiewicz type Fuzzy Flip-Flop, hardware realization

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تاریخ انتشار 2010