Hardware implementation of fuzzy flip-flops based on Łukasiewicz norms

  • Authors:

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

  • Affiliations:

  • Inst. of Inf., Elect. and Mechanical Eng. Fac. of Eng. Sci., Széchenyi István Univ. Györ, Hungary and Inst. of Microelectronics and Techn., Kandó Kálmán Fac. of Elect ...;Dept. of Electronics, Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, México;Inst. of Informatics, Electrical and Mechanical Engineering Faculty of Engineering Sciences, Széchenyi István University Györ, Hungary and Dept. of Technology, Informatics and Econo ...;Dept. of Microelectronics and Embedded Systems, Centro de investigación en Computación, Instituto Politécnico Nacional, México;Inst. of Informatics, Electrical and Mechanical Eng. Faculty of Eng. Sciences, Széchenyi István University Györ, Hungary and Dept. of Telecommunication and Media Inf., Budapest Univ ...;Instituto Mexicano del Petroleo, México

  • Venue:
  • ACACOS'10 Proceedings of the 9th WSEAS international conference on Applied computer and applied computational science
  • Year:
  • 2010

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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 Lukasiewicz norms.