Fuzzy similarity approach in text classification task

Dwi H. Widyantoro, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

We present a fuzzy similarity approach to address text classification problem. The effectiveness of several fuzzy conjunction and disjunction operators used in a fussy similarity formula and on several document representations were evaluated using test sets from three text document collections. Based on empirical results obtained from using these collections, a special case of the fuzzy similarity formula performs very well.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Pages653-658
Number of pages6
Volume2
StatePublished - 2000
EventFUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems - San Antonio, TX, USA
Duration: May 7 2000May 10 2000

Other

OtherFUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems
CitySan Antonio, TX, USA
Period5/7/005/10/00

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Software
  • Artificial Intelligence
  • Applied Mathematics

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  • Cite this

    Widyantoro, D. H., & Yen, J. (2000). Fuzzy similarity approach in text classification task. In IEEE International Conference on Fuzzy Systems (Vol. 2, pp. 653-658). IEEE.