研究面向犹豫模糊信息的聚类方法.首先,定义犹豫模糊相对熵、对称交互熵,并基于信息论的角度提出一个新的犹豫模糊相似度公式;然后,利用相似度公式构造相似系数矩阵,基于编网聚类方法对犹豫模糊集进行聚类;最后,通过算例验证了所提出方法的有效性.
The clustering method is studied under the hesitant fuzzy environment. Firstly, the hesitant fuzzy relative entropy and symmetric cross entropy are defined. From the viewpoint of information theory, a new similarity measure between two hesitant fuzzy sets is proposed. Then, a similarity coefficient matrix is constructed, and a netting method is presented to make clustering analysis for hesitant fuzzy sets. Finally, a numerical example is given to verify the effectiveness of the proposed method.