A system clustering method with incomplete attribute information

With respect to multiple attribute clustering analysis problems with incomplete information, in which attribute values are in the form of incomplete information and weight is exactly numerical data, a system clustering analysis method is proposed. In this paper, firstly, the multiple criteria clustering problem with incomplete information is introduced. Then, based on the traditional system clustering analysis method, calculation steps for solving multiple attribute clustering analysis problems with incomplete information are developed. In the method, a quadratic programming model is constructed for changing the incomplete information to exactly numerical data. According to the system clustering analysis method, the clustering result is gotten. Finally, a numerical example is used to illustrate the use of the proposed method.