Genetic algorithm for optimizing FIS Tsukamoto for dental disease identification
Triando Hamonangan Saragih, Wayan Firdaus Mahmudy, Yusuf Priyo Anggodo · 2017
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 can 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 of the fuzzy. This optimization of the membership function produces optimal results from systems using FIS Tsukamoto with the highest accuracy of 89% from 100 testing data.