概念相似度是计算机自然语言处理研究的重要问题之一。
The concept similarity is one of the most important problems in the machine language research.
提出了基于语义相似度和相关度的综合概念相似度计算方法。
This paper puts forward an integrated method based on semantic similarity and semantic relevancy.
基于形式概念分析和概念相似度，给出了一种新的文本模糊聚类方法。
A novel text fuzzy clustering based on formal concept analysis and concept similarity are proposed.
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