Clustering method based on intuitionistic fuzzy equivalent dissimilarity matrix
Lei Yang · Journal of Computer Applications · 2009
Aiming at the problems of clustering for the data of Intuitionistic Fuzzy Sets, a clustering method based on the intuitionistic fuzzy equivalent dissimilarity matrix was proposed. Firstly, the concept of intuitionistic fuzzy dissimilar interval was defined in the method, and the approach of constructing the intuitionistic fuzzy dissimilarity matrix was also presented. Then, the intuitionistic fuzzy equivalent dissimilarity matrix and (α,β)cutting matrices were given. Moreover, an algorithm for intuitionistic fuzzy clustering was proposed. Finally, the clustering algorithm was applied to the field of target classification and the validity was proved by the instance.