Grey clustering method based on maximizing deviations

There are some problems in determining the index weight when conducting grey clustering analysis.According to the principle of maximizing deviations,a method is proposed to determine index weighting based on maximizing deviations of whitenization weight function of index,thus we build the grey clustering model whose solution based on maximizing deviations of whitenization weight function of index. This method shows the definition that the index information can be reflected by the deviating extent of cluster indexes.Lastly,the objectivity and efficiency of this method is verified through example analysis.