Various defuzzification methods on DNA similarity matching using fuzzy inference system

M. Rahmat Widyanto, Nurtami Soedarsono, Norihiro Katayama, Mitsuyuki Nakao

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

A DNA similarity matching using fuzzy inference system is proposed to measure a similarity between human STR (Short Tandem Repeat) based DNA (Deoxyribonucleic Acid) profiles. Moreover, various defuzzification methods are also tested to observe their behavior on different DNA data characteristics. Experiment on real human STR based DNA profile data shows that the proposed DNA similaritymatching produces more realistic similarity values compared to those of the conventional one. Experiment on various defuzzification methods on DNA similarity matching shows that Sugeno defuzzificationmethod ismore suitable than those of other defuzzification methods.

Original languageEnglish
Pages (from-to)247-255
Number of pages9
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume14
Issue number3
DOIs
Publication statusPublished - 2010 Apr

Keywords

  • DNA similarity matching
  • Defuzzification method
  • Fuzzy inference system
  • Short tandem repeat

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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