A Clustering Method for Multiple Attribute Information with Triangular Fuzzy Numbers
Fan Zhi-ping · Systems Engineering-Theory Methodology Application · 2004
With respect to multiple attribute clustering analysis problems with triangular fuzzy numbers, a new clustering analysis method is proposed. In this paper, firstly, the multiple attribute clustering analysis problem with triangular fuzzy numbers is introduced. Secondly, based on the traditional maximal tree clustering algorithm, calculation steps of the maximal tree clustering algorithm for multiple attribute information with triangular fuzzy numbers are presented. Finally, a numerical example is also used to illustrate the applicability of the clustering algorithm proposed in this paper.