Abstract: The conventional grey model is a kind of unbiased exponential models with the characteristics of less date, high precision and without the prior information. However, it can not get the expected results sometimes. According to the facts, an amendatory grey model (AGM (1, 1) for short) and its stages are supposed, and are used to predict the yearly total number of internal travelers in one province. Prediction results of the two above grey models are compared. It shows that the amendatory grey model is of higher precision, less prediction errors, simple process and effective practicality. AGM (1, 1) can provide scientific decision references for the concerning governments.

Key words: grey system theory, grey prediction, grey model, amendatory grey model

摘要： 传统灰色模型GM(1, 1)是一种有偏差的指数模型，具有所需数据少、预测精度高和无需先验信息等优点，但有时预测效果不佳。基于这种情况，该文提出改进的灰色预测模型AGM (1, 1)及建模步骤，利用该模型实例预测某省参加国内游的年度总人数，并与传统的灰色预测模型结果相比较。结果表明，改进后的灰色预测模型精度更高、误差更小、简捷、实用，能够为相关部门的决策提供科学的理论 依据。

关键词: 灰色系统理论, 灰色预测, 灰色模型, 改进的灰色模型

CLC Number: 

• TP301.6