A grey multi-stage dynamic multiple attribute decision making method

To tackle a class of grey multi-index decision problems with completely unknown attribute weighted values and interval grey number, a dynamic multi-stage decision-making method is proposed based on the grey system theory. Firstly, we presented a method for comparison of two grey numbers and identification of the attribute weighted values. Secondly, the experts expressed attribute values in internal grey numbers by multiple stages. Finally the obtained attribute weights and values are aggregated to solve the multiple-stages evaluation problem.