提出一种语义贴近度算法，并通过定量计算获得不同本体的语义贴近度，提供了面向本体应用的决策依据；

Described in detail the algorithms of semantic proximity, and calculated the semantic proximity of different ontology to offer decision-making basis that ontology uses.

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讨论了计算直觉模糊集语义匹配度的若干途径，包括贴近度、语义距离、相似度、复合条件的匹配等。

All kinds of approaches to computing the semantic matching degree on IFS, including those of near compactness, semantic distance, similarity and compound conditions match, are discussed.

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