Fuzzy集和Vague集都可用于边界不确定信息的处理。文章首先研究了这两种集合间的关系、性质,提出了Fuzzy集和Vague集的边界不确定性都可用犤0,1犦上的一个子区间来进行描述的思想。然后基于一些Vague集相似度量的思想,提出了一种求Fuzzy集和Vague集的相似性度量方法,并建立了基于Fuzzy集和Vague集度量方法的统一模型,该模型在这两种集合相似性度量上是等价的,并给出了该模型满足的性质。 Both Fuzzy sets and Vague sets can be used to deal with the uncertain boundary information. Firstly, the paper studies the relations and properties between the two sets, and puts forward the idea that the boundary uncertainty of Fuzzy sets and Vague sets can be described by a sub-interval of 犤 0,1 犦. Then, based on the idea of ​​similarity measure of some Vague sets, this paper proposes a measure of similarity between Fuzzy sets and Vague sets, and establishes a unified model based on Fuzzy sets and Vague set measures. The similarity of the two sets Metrics are equivalent, and the nature of the model is given.