Various defuzzification methods on DNA similarity matching using fuzzy inference system

Muhammad Rahmat Widyanto, Nurtami, 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 - 1 Dec 2009
EventInternational Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009 - Tokyo, Japan
Duration: 7 Nov 20097 Nov 2009

Conference

ConferenceInternational Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009
CountryJapan
CityTokyo
Period7/11/097/11/09

Keywords

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

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