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利用已有的经济序列或科学实验数据对未来作出预测,在经济发展和科学研究中具有重要指导意义.出于某种原因,一些原始序列呈现出过高的增长趋势,直接建模,预测结果往往令人难以置信。本文提出了一种弱化灰色序列增长趋势的方法,可普遍应用于需作弱化预处理的序列预测。第二部分对现有的灰色关联分析方法作了全面改进和完善,提出的新方法计算简单,易于使定性分析和定量分析结果结合起来.且能使序关系稳定、一致。
Using the existing economic sequence or scientific experimental data to predict the future has important guiding significance in economic development and scientific research.For some reason, some original sequences show an over-increasing trend, and direct modeling and forecasting results Often unbelievable. In this paper, we propose a method to weaken the increasing trend of gray sequence, which can be widely applied to sequence prediction which needs to be attenuated preprocessing. The second part of the existing gray correlation analysis method has been fully improved and perfected, the proposed new method is simple, easy to make the qualitative analysis and quantitative analysis results together, and can make the order relationship is stable and consistent.