In order to match the case in this situation, a fuzzy similarity function between case-target and Case-base was constructed based on the conception of membership degree and closeness degree.
为了在该情况下进行实例匹配，基于隶属度和贴近度的概念，构造了靶实例与基实例的模糊相似度函数，从而以统一形式同时处理上述两类数据。
Based on fuzzy set theory, we bring forward a new concept: similarity degree of waveforms, and use fuzzy pattern identification method to classify ECG waveforms.
本文从模糊集合的角度，提出了波形相似度的概念，并采用模糊模式识别方法，基于波形间的相似度对心电波形进行分类。
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