Optimization of Fuzzy Inference System's Parameter Using Evolutionary Programming Algorithm For Teacher Certification In Indonesia

被引：0

作者：

Wicaksono, Bogi ^{[1
]}

Nhita, Fhira ^{[1
]}

Murdiansyah, Danang Triantoro ^{[1
]}

机构：

[1] Telkom Univ, Computat Sci, Bandung 40257, Indonesia

来源：

2016 4TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICOICT) | 2016年

关键词：

teacher certification; hybrid fuzzy; Evolutionary programming; confusion matrix;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Teacher have an important role in Indonesia's education as professional educator in all grade. Teacher certification held to select teacher who fullfil basic competence as educator. Indonesia used scoring method with several assesment to make the decision about teacher certification. In this research, we applied the alternative method using Fuzzy Inference System (FIS). Hybrid algorithm with Evolutionary Programming (EP) algorithm was used to optimize the membership function and rules of FIS. The result from hybrid fuzzy-EP is compared with result from scoring method using confusion matrix. Fuzzy hybrid with EP have accuracy is 78.8% with accuracy of testing 85.6%.

引用

页数：4

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