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在应用灰色GM(1.1)预测模型预测的基础上,又与马尔柯夫链结合构成灰色马尔柯夫链对吉林省玉米单产进行预测。结果表明:用灰色马尔柯夫链进行预测比灰色GM(1.1)模型预测的精度高、效果好,是一种理想的预测玉米单产的方法。同时用此方法对1992～1995年吉林省玉米单产进行了预测。
Based on the forecast of gray GM (1.1) prediction model, the gray Markov chain was combined with Markov chain to predict the yield of maize in Jilin Province. The results show that the prediction by gray Markov chain is more accurate and effective than gray GM (1.1) model prediction, which is an ideal method to forecast corn yield. At the same time, this method was used to predict the corn yield in Jilin Province from 1992 to 1995.