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Use of Generalized One-sided FCA Approach for Joining of Simple Object-attribute Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33145906" target="_blank" >RIV/61989592:15310/13:33145906 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SACI.2013.6608992" target="_blank" >http://dx.doi.org/10.1109/SACI.2013.6608992</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SACI.2013.6608992" target="_blank" >10.1109/SACI.2013.6608992</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Use of Generalized One-sided FCA Approach for Joining of Simple Object-attribute Models

  • Original language description

    In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple objectattribute models. Themain advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL) is its possibility or ability to work with various attributes types. Sometimes, the analyst needs to join some object-attribute models into one comprehensivestructure, he/she is able to do it using generalized FCA approach in two basic ways, which are described within the paper. Both approaches provides isomorphic outputs, but provision of information can be different due to usage of generalized attributes,what leads to benefits like better interpretation and understanding of output models and data.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Applied Computational Intelligence and Informatics (SACI)

  • ISBN

    978-1-4673-6397-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    331-336

  • Publisher name

    IEEE Computer Society Press

  • Place of publication

    New York

  • Event location

    Timisoara

  • Event date

    May 23, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article