Fuzzy flip-flops and neural nets?

László T. Kóczy, Rita Lovassy

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

5 Citations (Scopus)


J-K flip-flops are elementary digital units providing sequential features/memory functions. Their definitive equation is used both in the minimal disjunctive and conjunctive forms. Fuzzy connectives do not satisfy all Boolean axioms, thus the fuzzy equivalents of these equations result in two non-equivalent definitions, "reset and set type" fuzzy flip-flops (F3) by Hirota & al. when introducing the concept of F 3. The paper gives an overview of some of the most famous F 3-s by presenting their definitions and graphs. An interesting aspect of F3-s might be that they have a certain convergent behavior when one of their inputs (e.g. J) is exited repeatedly. This is true even if the other input (K) is kept at a constant value. The behavior is more versatile if both inputs are given a series of changing values. If J is considered the equivalent of the traditional input of a neuron (with an adder unit applied before J), K might play a secondary modifier's role, or can just be set fix. The paper encourages to the investigation of such possible F3-networks as new alternative types of neural networks.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Fuzzy Systems, FUZZY
Publication statusPublished - Dec 1 2007
Event2007 IEEE International Conference on Fuzzy Systems, FUZZY - London, United Kingdom
Duration: Jul 23 2007Jul 26 2007

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584


Other2007 IEEE International Conference on Fuzzy Systems, FUZZY
CountryUnited Kingdom

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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    Kóczy, L. T., & Lovassy, R. (2007). Fuzzy flip-flops and neural nets? In 2007 IEEE International Conference on Fuzzy Systems, FUZZY [4295435] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2007.4295435