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A New Model of a Fuzzy Associative Memory

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Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9376))

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Abstract

We propose a new theory of implicative fuzzy associative memory. This memory is modeled by a fuzzy preorder relation. We give a necessary and sufficient condition on input data that guarantees an effective composition of a fuzzy associative memory, which is moreover, insensitivity to a certain type of noise.

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Author information

Authors and Affiliations

  1. Centre of Excellence IT4Innovations, Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03, Ostrava 1, Czech Republic

    Irina Perfilieva

Authors
  1. Irina Perfilieva
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Correspondence to Irina Perfilieva .

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Editors and Affiliations

  1. Science and Technology, Japan Advanced Institute of, Nomi, Japan

    Van-Nam Huynh

  2. Science, Dept of Systems Innovation, Osaka University,Graduate School of, Osaka, Japan

    Masahiro Inuiguchi

  3. Université de Technologie de Compiègne, Compiègne, France

    Thierry Demoeux

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Perfilieva, I. (2015). A New Model of a Fuzzy Associative Memory. In: Huynh, VN., Inuiguchi, M., Demoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2015. Lecture Notes in Computer Science(), vol 9376. Springer, Cham. https://doi.org/10.1007/978-3-319-25135-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-25135-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25134-9

  • Online ISBN: 978-3-319-25135-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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