Hardware implementation of fuzzy flip-flops based on łukasiewicz norms

Rita Lovassy, Antonio Hernández Zavala, László Gál, Oscar Camacho Nieto, László T. Kóczy, Ildar Batyrshin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10
Pages196-201
Number of pages6
StatePublished - 2010
Event9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10 - Hangzhou, China
Duration: 11 Apr 201013 Apr 2010

Publication series

NameProceedings of the 9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10

Conference

Conference9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10
Country/TerritoryChina
CityHangzhou
Period11/04/1013/04/10

Keywords

  • Fuzzy flip-flop
  • Fuzzy neural networks
  • Fuzzy neuron
  • Hardware realization
  • Łukasiewicz norms
  • Łukasiewicz type fuzzy flip-flop

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