Imperfect Pattern Recognition Using the Fuzzy Measure Theory

  • Anas Dahabiah
  • John Puentes
  • Basel Solaiman
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5788)


This paper aims to provide a unified framework to deal with information imperfection and heterogeneity using possibility theory, in addition to information conflict and scarcity using Dempster-Shafer theory in order to classify imperfectly-described medical images. The proposed method is very robust and general. It can be applied without modification to any other database.


pattern recognition possibility theory Dempster-Shafer theory similarity measuring 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Anas Dahabiah
    • 1
  • John Puentes
    • 1
  • Basel Solaiman
    • 1
  1. 1.Image and Information Processing DepartmentTELECOM BretagneBrest Cedex 3France

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