一种新弱化缓冲算子的构造及应用

灰色序列算子对灰色预测模型的预测精度起到关键作用.在已有缓冲算子和弱化缓冲算子研究基础上,构造出一种新的弱化缓冲算子,有效解决了冲击扰动数据序列在建模预测过程中经常出现的定量预测结果与定性分析结论不符的问题.实例分析结果表明该弱化缓冲算子使用方便、有效,能显著提高GM(1,1)模型的预测精度.

A New Weakening Buffer Operator and Its Application

Grey sequence operator plays a key role in prediction accuracy of grey forecasting model. On the basis of the research about buffer operator and weakening buffer operator, this paper constructs a new kind of weakening buffer operator. It effectively solves the discrepancy of the quantitative prediction results and qualitative analysis conclusion which often happens in the process of modeling prediction of data sequence disturbed by shock. Example analysis results show that the weakening buffer operator can improve the prediction precision remarkably and it is easy and effective to use.