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L-Concept lattices with positive and negative attributes: Modeling uncertainty and reduction of size

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F19%3A73595302" target="_blank" >RIV/61989592:15310/19:73595302 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0020025518306753" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025518306753</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ins.2018.08.057" target="_blank" >10.1016/j.ins.2018.08.057</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    L-Concept lattices with positive and negative attributes: Modeling uncertainty and reduction of size

  • Original language description

    In our previous works, we introduced an extension of formal fuzzy concept analysis where attributes were considered as a positive and negative information based on user input. In the present paper, we show that the extension is naturally capable to model uncertainty and we describe a general method to increase that uncertainty in a parametric way. Furthermore, we demonstrate that two methods of concept lattice size reduction, which were thoroughly studied in formal fuzzy concept analysis, become instances of the general method when adapted to our extension

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA15-17899S" target="_blank" >GA15-17899S: Decompositions of Matrices with Boolean and Ordinal Data: Theory and Algorithms</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    INFORMATION SCIENCES

  • ISSN

    0020-0255

  • e-ISSN

  • Volume of the periodical

    472

  • Issue of the periodical within the volume

    JAN

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    17

  • Pages from-to

    163-179

  • UT code for WoS article

    000448229300010

  • EID of the result in the Scopus database

    2-s2.0-85053800680