生物医学数据分类的最佳模糊逻辑方法

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI:10.1109/BIYOMUT.2010.5479731

O. Polat

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引用次数: 0

摘要

本研究针对不同生物医学数据集的模糊逻辑分类技术进行了优化，以提高分类性能。优化过程采用阈值接受算法。在心脏数据集上进行了测试，仿真结果表明，优化后的模糊逻辑方法比未优化的模糊逻辑结构具有更高的分类精度。

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The optimum fuzzy logic approach for biomedical data classification

In this study, a fuzzy logic technique for classification of different biomedical dataset is optimized for improving performance. Threshold acceptance algorithm is used for optimization process. The proposed method is tested on heart data set and simulation results show that the optimized fuzzy logic approach provides higher classification accuracy compare with that of unoptimized fuzzy logic structure.

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2010 15th National Biomedical Engineering Meeting

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