CAJ | 학술논문

研究了一种基于模糊概念相似度的模糊本体构建方法。对目标数据源进行模糊形式概念分析，构建模糊概念格，利用基于模糊概念相似度的概念聚类算法产生模糊概念聚类，并最终映射得到模糊本体。该方法对模糊概念的内涵及外延的相似度进行了全面的度量，并加入权重因子增强模糊聚类的可调节性。最后通过实例验证了该方法的可行性和有效性。
연구료일충기우모호개념상사도적모호본체구건방법。대목표수거원진행모호형식개념분석，구건모호개념격，이용기우모호개념상사도적개념취류산법산생모호개념취류，병최종영사득도모호본체。해방법대모호개념적내함급외연적상사도진행료전면적도량，병가입권중인자증강모호취류적가조절성。최후통과실례험증료해방법적가행성화유효성。
This paper researches a construction method of fuzzy ontology based on the fuzzy concept similarity. Firstly, the paper gives fuzzy formal concept analysis of the target data source to build a fuzzy concept lattice, then generates the fuzzy concept cluster with the concept cluster algorithm which based on the fuzzy conceptual similarity, and finally mapping to get the fuzzy ontology. This method has a comprehensive measure of the fuzzy concept similarity of connotation and denotation, and adding the weight factor to enhanced the fuzzy clustering adjustability. At last, the examples demonstrate the feasibility and effectiveness of the method.