Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features

  • Ronei M. Moraes
  • Liliane S. Machado
  • Henri Prade
  • Gilles Richard
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8258)


The notion of homogeneous logical proportions has been recently introduced in close relation with the idea of analogical proportion. The four homogeneous proportions have intuitive meanings, which can be related with classification tasks. In this paper, we proposed a supervised classification algorithm using homogeneous logical proportions and provide results for all. A final comparison with previous works using similar methodologies and with other classifiers is provided.


supervised classification analogical proportion analogical dissimilarity 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ronei M. Moraes
    • 1
    • 2
  • Liliane S. Machado
    • 1
    • 2
  • Henri Prade
    • 2
  • Gilles Richard
    • 2
  1. 1.LabTEVEFederal University of ParaibaJoao PessoaBrazil
  2. 2.IRITUniversity of ToulouseToulouse Cedex 09France

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