A Clustering Method Based on Interval Numbers for Multi-index Information
Fan Zhi-ping, YU Chun-hai · Journal of Northeastern University · 2004
With respect to the problems of which both the characteristic values and weights of indices are uncertain interval numbers, a new maximal tree clustering analysis method is proposed. After a discussion on the problems of multi-index information clustering analysis in terms of interval numbers, a basic concept is formed according to the traditional maximal tree clustering method based on numerical information. Then the computation steps are given to solve such problems, with a numerical example set out to illustrate the applications of the new clustering method as proposed.