Study on Grey Fixed Weight Clustering Decision-making Based on Entropy Weight

Grey fixed weight clustering decision-making is an important part of grey system theory. In traditional method, the weight of the indexes is given in advance. The study on how to get the weight of different indexes scientifically is not taken into account by people. In this paper, a method of getting weight is proposed based on the definition of entropy, and then the corresponding algorithm of grey fixed weight clustering decision-making based on entropy weight is given. Taken practical problem as empirical study, it indicates that the method exhibits better effect and be an effective development to grey clustering decision-making theory.