Optimization of fuzzy inference system's parameter using evolutionary programming algorithm for teacher certification in Indonesia

机译：基于进化规划算法的印度尼西亚教师资格证书模糊推理系统参数优化

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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%.

机译：作为所有年级的专业教育者，教师在印度尼西亚的教育中具有重要作用。举行教师资格认证，以选拔具备基本能力的教师作为教育者。印度尼西亚使用评分方法并进行了多次评估，以做出有关教师资格证书的决定。在这项研究中，我们应用了使用模糊推理系统（FIS）的替代方法。利用进化算法（EP）的混合算法对FIS的隶属度函数和规则进行优化。将混合Fuzzy-EP的结果与使用混淆矩阵的评分方法的结果进行比较。具有EP的模糊混合算法的准确度为78.8％，测试准确度为85.6％。

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《International Conference on Information and Communication Technology》|2016年|1-4|共4页
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Bogi Wicaksono; Danang Triantoro Murdiansyah; Fhira Nhita;
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Certification; Fuzzy logic; Inference algorithms; Optimization; Prediction algorithms; Programming profession;

机译：认证;模糊逻辑;推理算法;优化;预测算法;编程专业;

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Optimization of fuzzy inference system's parameter using evolutionary programming algorithm for teacher certification in Indonesia

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