A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis Disease

  • Kemal Polat
  • Sadık Kara
  • Fatma Latifoğlu
  • Salih Güneş
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4163)


Artificial Immune Recognition System (AIRS) has showed an effective performance on several problems such as machine learning benchmark problems and medical classification problems like breast cancer, diabets, liver disorders classification. In this study, the resource allocation mechanism of AIRS was changed with a new one determined by Fuzzy-Logic. This system, named as Fuzzy-AIRS was used as a classifier in the diagnosis of atherosclerosis, which are of great importance in medicine. The proposed system consists of the following parts: first, we obtained features that are used as inputs for Fuzzy-AIRS from Carotid Artery Doppler Signalsusing Fast Fourier Transform (FFT), then these obtained inputs used as inputs in Fuzzy-AIRS. While AIRS algorithm obtained 75% maximum classification accuracy for 150 resources using 10-fold cross validation, Fuzzy-AIRS obtained 100% maximum classification accuracy in the same conditions. These results show that Fuzzy-AIRS proved that it could be used as an effective classifier for the medical problems.


Artificial Immune Recognition System (AIRS) Fuzzy resource allocation mechanism Atherosclerosis disease Carotid artery Fast Fourier Transformation 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kemal Polat
    • 1
  • Sadık Kara
    • 2
  • Fatma Latifoğlu
    • 2
  • Salih Güneş
    • 1
  1. 1.Dept. of Electrical & Electronics Engineeringelcuk UniversityKonyaTurkey
  2. 2.Dept. of Electronics Eng.Erciyes UniversityKayseriTurkey

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