A Fuzzy Radial Basis Model for Arabic Documents Classification

  • Taher ZakiEmail author
  • Mohamed Salim El Bazzi
  • Driss Mammass
  • Abdellatif Ennaji
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10884)


In this paper, we bring an improvement to the classical fuzzy model of classification by implementing a new approach which based on radial basis functions for the Arabic documents classification. This approach takes into account the concept of semantic vicinity by calculating of the similarity degree between terms in relation to the documents. We combine the calculation of the relevance of these terms (using NEAR operator) with a radial basis function to identify the relevant documents to the query. The use of linguistic resources namely semantic graphs and semantic dictionaries (specifically created for the studied domain) significantly improves the process of classification.

Preliminary and promising results are shown on a Arabic press database which show very good performance compared to the literature.


Arabic language Classical fuzzy model Fuzzy classification Radial basis function Relevance Semantic dictionary Semantic graph Semantic vicinity Similarity 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Taher Zaki
    • 1
    Email author
  • Mohamed Salim El Bazzi
    • 1
  • Driss Mammass
    • 1
  • Abdellatif Ennaji
    • 2
  1. 1.IRFSIC Laboratory, Faculty of ScienceIbn Zohr UniversityAgadirMorocco
  2. 2.LITIS Laboratory EA 4108, University of RouenRouenFrance

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