Fuzzy clustering procedures for conical fuzzy vector data

Abstract This note addresses fuzzy cluster analysis of conical fuzzy vector data. A fuzzy vector represents fuzzy data in a high dimension. In this note a robust type of fuzzy clustering algorithm with a noise cluster is proposed. The proposed algorithm is robust with respect to noise and can also detect outliers for conical fuzzy vector data. Finally, some numerical examples are presented.