东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (9): 1236-1239.DOI: -

• 信息与控制 • 上一篇    下一篇

一种模糊概念相似度的计算方法

张凌宇,马宗民   

  1. (东北大学信息科学与工程学院,辽宁沈阳110819)
  • 收稿日期:2013-03-04 修回日期:2013-03-04 出版日期:2013-09-15 发布日期:2013-04-22
  • 通讯作者: 张凌宇
  • 作者简介:张凌宇(1981-),男,黑龙江齐齐哈尔人,东北大学博士研究生;马宗民(1965-),男,山东金乡人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(60873010,61073139);教育部新世纪优秀人才支持计划项目(NCET-05-0288);中央高校基本科研业务费专项资金资助项目(N090504005,N090604012).

Method of Similarity Calculation of Fuzzy Concepts

ZHANG Lingyu, MA Zongmin   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2013-03-04 Revised:2013-03-04 Online:2013-09-15 Published:2013-04-22
  • Contact: MA Zongmin
  • About author:-
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摘要: 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.

关键词: 模糊本体, 模糊概念, 相似度计算, 模糊关系, 向量空间模型

Abstract: 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.

Key words: fuzzy ontology, fuzzy concept, similarity calculation, fuzzy relationship, vector space model

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