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An Extension of the Method for Fuzzy Rules Extraction by Means of Artificial Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F13%3A%230002214" target="_blank" >RIV/47813059:19520/13:#0002214 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3233/978-1-61499-264-6-65" target="_blank" >http://dx.doi.org/10.3233/978-1-61499-264-6-65</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/978-1-61499-264-6-65" target="_blank" >10.3233/978-1-61499-264-6-65</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Extension of the Method for Fuzzy Rules Extraction by Means of Artificial Neural Networks

  • Original language description

    Knowledge extraction from data in the form of rules is a widespread di- rection in data mining area, which allows to obtain interesting relationships in data from large databases in for a human easily understandable form. This paper deals withoneofthemethodsforextractionofrulesfromdatawhichextractrulesinform of a formula in considered fuzzy logic by means of artificial neural networks with special architecture. Using artificial neural networks in extraction process, above mentioned methods gain good approximation of analyzed data and thanks to spe- cial architecture allows to extract human-understandable knowledge. The method described in this paper was, however, missing any module, that is a standard part of themostofmethodsusedforrulesextractionfromdata,thatwouldallowtotheuser subjective selection of the best ratio between accuracy and comprehensibility of the model. This is especially important feature for solving data mining tasks called searching of concepts descriptio

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

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

    Frontiers in Artificial Intelligence and Applications 255

  • ISBN

    978-1-61499-263-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    65-73

  • Publisher name

    IOS Press BV

  • Place of publication

    Amsterdam

  • Event location

    Amsterdam

  • Event date

    Jun 26, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article