Various defuzzification methods on DNA similarity matching using fuzzy inference system

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

研究成果: Article査読

4 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)247-255
ページ数9
ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
14
3
DOI
出版ステータスPublished - 2010 4

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • 人工知能

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