引入灰色GM (1, 1)模型进行预测
现全部更正为： Abstract: According to the gray features of tourism flow, the paper introduces gray model GM (1, 1) to predict it, and establish markov chain to amend the predictions
We analyze the development trend of tourism flow in light of Shannxi province’s statistical data
The result shows that adopting gray markov model to predict tourism flow from year 2007 to 2009, the mean prediction error is much less than GM (1, 1)
The combination of both model has a higher forecast precision
Key words: management engineering
结果显示采用灰色马尔可夫模型对2007-2009年三年客流量进行预测
其平均预测误差比GM (1, 1)预测明显减少
） 摘要： 针对旅游客流量的灰色特性
两模型相结合的预测方法比单一模型预测具有更高的精度
