Various Defuzzification Methods on DNA Similarity Matching Using Fuzzy Inference System | Zendy

M. Rahmat Widyanto | Zendy; Nurtami Soedarsono | Zendy; N. Katayama | Zendy; Mitsuyuki Nakao | Zendy

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Various Defuzzification Methods on DNA Similarity Matching Using Fuzzy Inference System

Author(s) -

M. Rahmat Widyanto,

Nurtami Soedarsono,

N. Katayama,

Mitsuyuki Nakao

Publication year - 2010

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2010.p0247

Subject(s) - defuzzification , matching (statistics) , similarity (geometry) , artificial intelligence , computer science , pattern recognition (psychology) , fuzzy logic , similitude , data mining , mathematics , fuzzy set , fuzzy number , image (mathematics) , statistics

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.

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