Fuzzy logic system for DNA profile matching with embedded ethnic inference

Reggio N. Hartono, Muhammad Rahmat Widyanto, Nurtami

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper proposes a novel technique to do probabilistic inference by using simple Fuzzy Logic System (FLS), especially ethnic information in DNA profile matching algorithm. By using the allele marker's distribution probability density function as the membership function in the FLS, the new technique makes it possible to tell the ethnic similarity between two DNA profiles in a fast and simple way. A data acquired from ethnic groups of Indonesia is used to test the technique and produced promising result, being able to indicate higher ethnic similarity score within an ethnic group and lower similarity between ethnic groups. However, further research is needed to further improve the model and warrant the correctness and accuracy, especially because the data is not very discriminative.

Original languageEnglish
Title of host publicationProceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010
Pages69-73
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 - Jakarta, Indonesia
Duration: 2 Dec 20103 Dec 2010

Publication series

NameProceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010

Conference

Conference2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010
Country/TerritoryIndonesia
CityJakarta
Period2/12/103/12/10

Keywords

  • DNA profile
  • Ethnic inference
  • Fuzzy
  • Fuzzy logic
  • Probability density function

Fingerprint

Dive into the research topics of 'Fuzzy logic system for DNA profile matching with embedded ethnic inference'. Together they form a unique fingerprint.

Cite this