关键词: 直觉模糊集, 直觉模糊聚类, 模糊核C-均值, 核函数, 高斯核函数

Abstract: A kernel based intuitionistic fuzzy clustering algorithm named IFKCM was proposed on the basis of analyzing the deficiency of the existing clustering algorithm. The new algorithm, through introducing Gauss kernel, mapped the intuitionistic fuzzy sets from their original space to a high dimensional space (or kernel space), so as to have shorter computational time and more accurate result. Besides, it was robust to the noises because it improved the constraint conditions used in the existing intuitionistic fuzzy clustering algorithm. Finally, compared with the traditional algorithm, the proposed algorithm has made some significant progress, and the experimental result has proved its effectiveness.

Key words: intuitionistic fuzzy set, intuitionistic fuzzy clustering, Fuzzy Kernel C-Means (FKCM), kernel function, Gauss kernel function