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Fuzzy Associative Memory in the Context of Formal Concept Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801MXW" target="_blank" >RIV/61988987:17610/17:A1801MXW - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy Associative Memory in the Context of Formal Concept Analysis

  • Original language description

    In the current contribution, we use the framework of formal concept analysis (FCA) and propose the theory of fuzzy associative memories (FAM) in the language of FCA. We differentiate FAM models according to their ability to reduce noise and show how the choice of formal context determines a type of noise that can be reduced by the corresponding retrieval mechanism.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10101 - Pure mathematics

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of Symposia on Mathematical Techniques Applied to Data Analysis and Processing (SMATAD)

  • ISBN

    9788469733707

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    19-20

  • Publisher name

  • Place of publication

    Fuengirola, Málaga

  • Event location

    Fuengirola, Málaga

  • Event date

    May 18, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article