组合预测模型在高考数据预测中的应用研究

Research on combinational model for predicting college entrance examination data

为了提高灰色GM(1,1)预测模型的预测准确度,将模糊数学理论和灰色GM(1,1)理论模型相结合,提出了一种基于模糊灰色理论高考数据预测模型。将该模型应用于甘肃省高等院校2006—2011年专业录取分数的历史统计数据进行验证,实验结果表明该模型对高考数据的预测是有效、可靠的。

In order to improve prediction accuracy of gray system theory GM（1,1）, a predication is presented based on combined fuzzy theory and gray system theory. The efficiency of the proposed model is proved by predicting professional admission fraction statiscal data from 2006-2011 years in General Institutions of Higher Learning of Gansu Province. The experimental results have shown that this model is effective and suitable.