@inproceedings{246a5efdec67437fb354484856dea908,
title = "Tribal classification using probability density function (PDF) and fuzzy inference system (FIS)",
abstract = "The classification of tribal information data is useful to narrow the scope of the investigation into a particular tribal domain so that the process of DNA profile identification can be done with less amount of data so that it can be done with a faster time. In this study we proposed fuzzy inference and also proposed the function of probability density of allele markers as a function of fuzzy membership. The DNA profile has two alleles derived from the parent, based on this case then the presentation of the probability density function of each locus in a tribe is made in two models of membership function, ie the membership function of the independent allele model and in-paired model allele membership function. The experimental results show that the percentage accuracy of in-paired model allele membership function is better than the independent allele model membership function.",
keywords = "Classification, DNA Profile, Fuzzy inference, Probability density function, STR",
author = "Anggreainy, {Maria Susan Anggreainy} and Widyanto, {M. Rahmat} and Widjaja, {Belawati H.} and Nurtami Soedarsono and Kaoru Hirota",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 ; Conference date: 05-12-2018 Through 08-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/SCIS-ISIS.2018.00186",
language = "English",
series = "Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1181--1184",
booktitle = "Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018",
address = "United States",
}