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Generating non-redundant bases of data tables with fuzzy attributes by reduction of complete sets of fuzzy attribute implications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F07%3A00003620" target="_blank" >RIV/61989592:15310/07:00003620 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Generating non-redundant bases of data tables with fuzzy attributes by reduction of complete sets of fuzzy attribute implications

  • Original language description

    We present extensions of ordinary compositions of fuzzy relations. The extensions consist in parameterizing the ordinary compositions by means of particular unary functions on the scales of truth degrees. The approach is inspired by our previous work onformal concept analysis of data with fuzzy attributes where such parameterization of one particular type of fuzzy relational composition was used to control the number of clusters extracted from data. We present definitions and basic properties of the parameterized compositions, examples, and implications for several domains of application of fuzzy relational compositions.

  • Czech name

    Generování neredundantních bází z tabulkových dat s fuzzy atributy pomocí redukce úplných množin fuzzy atributových implikací

  • Czech description

    Ukazujeme nepřímou metody, kterak nalézt neredundantní bázi tabulky s fuzzy atributy. Postupujeme nepřímo: vygenerována je úplná množina IF-THEN formulí popísující závoislosti, která je posléze redukována na neredundantní. Ukazujeme teoretický vhled, algoritmus, a příklady.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Proceedings of IEEE International Fuzzy Systems Conference

  • ISSN

    1544-5615

  • e-ISSN

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    32

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    6

  • Pages from-to

    936-941

  • UT code for WoS article

  • EID of the result in the Scopus database