一种模糊概念相似度的计算方法

由于现有的经典本体映射方法以及相似度计算方法无法处理模糊信息，因此它们都无法计算模糊概念之间的相似度.为此，提出了一种新的基于向量空间模型的模糊概念相似度计算方法SimFC-VSM(similarityoffuzzyconceptbasedonvectorspacemodel).SimFC-VSM方法首先利用模糊本体中的模糊关系构建向量空间模型；然后将模糊概念表示成此向量空间模型中的向量；最后通过向量运算的方法来计算模糊概念之间的相似度.因此，所提出的方法SimFC-VSM可以有效地利用向量空间模型来计算模糊概念之间的相似度.

Method of Similarity Calculation of Fuzzy Concepts

Due to the fuzzy information cannot be handled by the classical approaches for ontology mapping and similarity calculation， the similarities between fuzzy concepts cannot be computed as well. To this end， a new method for similarity calculation of fuzzy concepts was provided based on vector space model， called SimFC VSM(similarity of fuzzy concept based on vector space model). The fuzzy relationships in fuzzy ontologies were firstly used to generate vector space model(VSM). And then the fuzzy concepts were represented as vectors in the VSM. Finally，the similarities for fuzzy concept pairs were obtained by calculating vectors. Therefore， the proposed SimFC VSM method can be used to calculate the similarity between fuzzy concepts based on VSM， effectively.