The proposed method develops a fuzzy rule-based classifier that was tested using features for islanding detection in distributed generation.
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The developed fuzzy rule-based classifier is tested using features with noise up to a signal-to-noise ratio of 20 dB and provides classification results without misdetection, which shows the robustness of the proposed approach for islanding detection