在传统的用灰色预测模型预测的方法基础上,建立了灰色加权马尔可夫链模型.以中国移动通信市场预测作为实例,介绍了使用这种模型的方法与步骤.灰色加权马尔可夫链模型既考虑了从时间序列中挖掘数据的演变规律,又通过规范化各阶自相关系数为权重,用加权的马尔可夫转移概率矩阵的变换,考虑数据的随机波动,具有严密的科学性,能较好地应用于中国移动通信市场的预测. Based on the traditional methods of predicting gray forecasting models, a gray-weighted Markov chain model is established.With the prediction of China’s mobile market as an example, the methods and steps of using this model are introduced.Grass-weighted Markov Chain Model It not only considers the evolution law of data mining from time series, but also regularizes the autocorrelation coefficient of every order as the weight, and uses the transformation of weighted Markov transition probability matrix to consider the random fluctuation of data, Well used in China’s mobile communications market forecast.