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Multi-agent evolutionary design of Beta fuzzy systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092753" target="_blank" >RIV/61989100:27240/14:86092753 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891722" target="_blank" >http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891722</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891722" target="_blank" >10.1109/FUZZ-IEEE.2014.6891722</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-agent evolutionary design of Beta fuzzy systems

  • Original language description

    This paper provides an overview on a new evolutionary approach based on an intelligent multi-agent architecture to design Beta fuzzy systems (BFSs). The Methodology consists of two processes, a learning process using a clustering technique for the automated design of an initial Beta fuzzy system, and a multi-agent tuning process based on Particle Swarm Optimization algorithm to deal with the optimization of membership functions parameters and rule base. In this approach, dynamic agents use communicationand interaction concepts to generate high-performance fuzzy systems. Experiments on several data sets were performed to show the effectiveness of the proposed method in terms of accuracy and convergence speed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IEEE International Conference on Fuzzy Systems

  • ISBN

    978-1-4799-2072-3

  • ISSN

    1098-7584

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1234-1241

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    New York

  • Event location

    Beijing

  • Event date

    Jul 6, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article