Perpustakaan Fakultas Ilmu Komputer

Call Number	SEM-372
Collection Type	Indeks Artikel prosiding/Sem
Title	Geneticm Algorithm for Optimizing FIS Tsukamoto for Dentral Disease Identification. Hal 345-350.
Author	Triando Hamonangan Saragih, Wayan Firdaus Mahmudy, Yusuf Priyo Anngodo;
Publisher	ICACSIS 2017 International Conference on Advanced Computer Scence and Information System
Subject	Disease Identification, Dental Disease, Genetic Algorithm, FIS Tsukamoto.
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
SEM-372		TERSEDIA

Tidak ada review pada koleksi ini: 47374

Abstract- Teeth is one tool in the human digestive system that serves as a food destroyer for easy digestion. Diseases that attack teeth can inhibit this activity and ca not be identified rapidly by young dentist. This problem can be solved with identification system. This identification system uses FIS Tsukamoto in analyzing. Subjective function of the membership of this fuzzy then solved by optimizing the membership function produces optimal results from system using FIS Tsukamoto with the highest accuracy of 89% from 100 testing data.