本研究首先结合中位数 (median)与模糊相似度函数(Fuzzy Similarity Function, FSF),来衡量各样本意见的 认同程度,以建构一个认同矩阵。
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In order to match the case in this situation, a fuzzy similarity function between case-target and Case-base was constructed based on the conception of membership degree and closeness degree.
为了在该情况下进行实例匹配,基于隶属度和贴近度的概念,构造了靶实例与基实例的模糊相似度函数,从而以统一形式同时处理上述两类数据。
The method measures the similarity of durability index series of components by the use of similarity coefficient and forms a fuzzy equivalence matrix with sort function.
该方法利用相似系数在各构件的耐久性指标序列之间进行相似性度量,并形成了具有分类功能的模糊等价矩阵。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
本文提出了以信任度、可能性测度、权重有隶属函数概念作为模糊相似性匹配的基础来检索图像的方法。
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