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Mining multi-class industrial data with evolutionary fuzzy rules

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088856" target="_blank" >RIV/61989100:27240/13:86088856 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/13:86088856

  • Result on the web

    <a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06617453" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06617453</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CYBConf.2013.6617453" target="_blank" >10.1109/CYBConf.2013.6617453</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mining multi-class industrial data with evolutionary fuzzy rules

  • Original language description

    Methods based on fuzzy sets and fuzzy logic have proved to be efficient data classifiers and value estimators. This study presents an application of evolutionary evolved fuzzy rules based on the concept of extended Boolean queries to a multiclass data mining problem. Fuzzy rules are used as symbolic classifiers machine-learned from the data and used to label data samples and predict the value of an output variable. The output variable can be both a label (category) and a continuous value. This study presents an application of evolutionary fuzzy rules to the prediction of multi-class quality attributes in an industrial data set and compares the prediction obtained by fuzzy rules to the prediction achieved by support vector machines.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

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

  • Continuities

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

    2013 IEEE International Conference on Cybernetics, CYBCONF 2013

  • ISBN

    978-1-4673-6469-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    191-196

  • Publisher name

    IEEE

  • Place of publication

    Danvers

  • Event location

    Lausanne

  • Event date

    Jun 13, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article