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Reducing the size of fuzzy concept lattices by fuzzy closure operators.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F06%3A00002585" target="_blank" >RIV/61989592:15310/06:00002585 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reducing the size of fuzzy concept lattices by fuzzy closure operators.

  • Original language description

    The paper presents a general method of imposing constraints in formal concept analysis of tabular data with fuzzy attributes. The constraints represent a user-defined requirements which are supplied along with the input data table. The main effect is tofilter-out conceptual clusters (outputs of the analysis) which are not compatible with the constraint, in a computationally efficient way. Our approach covers several examples studied before, e.g. crisply generated concepts and constraints by hedges.

  • Czech name

    Redukce rozměru fuzzy konceptuálníc svazů pomocí fuzzy uzávěrových operátorů

  • Czech description

    Prezentace výsledků studia redukce rozměru fuzzy konceptuálníc svazů pomocí fuzzy uzávěrových operátorů.

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET101370417" target="_blank" >1ET101370417: Hierarchical analysis of complex data</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2006

  • Confidentiality

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

Data specific for result type

  • ISBN

    1880-3741

  • Place of publication

  • Publisher/client name

    SCIS & ISIS

  • Version

  • Carrier ID