灰色马尔科夫模型在城镇职工年平均收入预测中的应用

In this paper, we make a brief analysis of advantages and disadvantages of the Grey Prediction Model, then repair the error by using Markov chain and set up Grey Markov model. This model can be used in the complex environment with less date, also it can offers the opportunity to correct the problem of randomness and erase the biases. By using the date of the urban workers' average income from 2004 to 2013. We can test the Grey Markov model and proved that it meet the requirement of accuracy. So this model can be used in the prediction of average income for urban workers, which has a certain practicability and reference value.