• DocumentCode
    2813331
  • Title

    Particle swarm classifier for fuzzy data sets

  • Author

    Shahraki, Hadi ; Zahiri, Seyed-Hamid

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Birjand, Birjand, Iran
  • fYear
    2015
  • fDate
    3-5 March 2015
  • Firstpage
    295
  • Lastpage
    299
  • Abstract
    In this paper a particle swarm classifier is proposed to classify fuzzy data sets. This classifier is able to find the decision hyperplanes between different classes with fuzzy samples. The performance of the proposed classifier has been tested on various fuzzy data sets. The experimental results show that our proposed classifier is able to classify fuzzy data sets as other common uncertain data classifiers. Also the results obtained from classifying some crisp data sets show the powerfulness of our proposed classifier for crisp data sets is same as the traditional particle swarm classifier.
  • Keywords
    fuzzy set theory; particle swarm optimisation; decision hyperplanes; fuzzy data sets; particle swarm classifier; uncertain data classifier; Cancer; Iris recognition; Optimization methods; Particle swarm optimization; Pattern recognition; Support vector machines; Temperature distribution; Classification; fuzzy data set; particle swarm classifier; uncertain data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Signal Processing (AISP), 2015 International Symposium on
  • Conference_Location
    Mashhad
  • Print_ISBN
    978-1-4799-8817-4
  • Type

    conf

  • DOI
    10.1109/AISP.2015.7123499
  • Filename
    7123499