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Multi-attribute Text Classification Using the Fuzzy Borda Method and Semantic Grades

  • Eugene Levner
  • David Alcaide
  • Joaquin Sicilia
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4578)

Abstract

We consider the problem of automatic classification of text documents, in particular, scientific abstracts and use two types of classifiers: ordinal and numerical. For the first type we use a fuzzy extension of the Borda voting method while for the second type we use a fuzzy Borda method in combination with the semantic grading.

Keywords

Fuzzy Logic Fuzzy Number Linguistic Variable Borda Count Fuzzy Version 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Eugene Levner
    • 1
  • David Alcaide
    • 2
  • Joaquin Sicilia
    • 2
  1. 1.Holon Institute of Technology, HolonIsrael
  2. 2.University of La Laguna, La Laguna, TenerifeSpain

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