Fuzzy beans in classification

  • Luukka P
  • 5

    Readers

    Mendeley users who have this article in their library.
  • 7

    Citations

    Citations of this article.

Abstract

In the article fuzzy bean based classifier is given. Three different type of structures are tested in the classifier. Fuzzy bean based classifier is supervised learning method and with proper optimization scheme promising results were covered. Differential evolution algorithm was used in optimizing the required parameters. Classifier was applied to diagnosis of liver-disorders with 73.9% classification accuracy, to Pima-Indian diabetes with 77.8% accuracy, to diagnosis of breast cancer with 97.8% accuracy and to echocardiogram with 93.0% accuracy. Results can be considered good and they compare well with results reported with literature. © 2010 Elsevier Ltd. All rights reserved.

Author-supplied keywords

  • Breast cancer data
  • Diabetes data
  • Differential evolution
  • Echocardiogram
  • Fuzzy bean classifier
  • Fuzzy systems
  • Learning
  • Liver-disorder data

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Pasi Luukka

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free