Various defuzzification methods on DNA similarity matching using fuzzy inference system

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

Research output: Contribution to conferencePaperpeer-review

1 Citation (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 similarity matching produces more realistic similarity values compared to those of the conventional one. Experiment on various defuzzification methods on DNA similarity matching shows that Sugeno defuzzification method is more suitable than those of other defuzzification methods.

Original languageEnglish
Publication statusPublished - 2009 Dec 1
EventInternational Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009 - Tokyo, Japan
Duration: 2009 Nov 72009 Nov 7

Other

OtherInternational Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009
Country/TerritoryJapan
CityTokyo
Period09/11/709/11/7

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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