灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的。灰色理论建立的是生成数据模型，不是原始数据模型。所谓灰色系统是介于白色系统和黑箱系统之间的过渡系统，其具体的含义是：如果某一系统的全部信息已知为白色系统，全部信息未知为黑箱系统，部分信息已知，部分信息未知，那么这一系统就是灰色系统。一般地说，社会系统、经济系统、生态系统都是灰色系统。例如物价系统，导致物价上涨的因素很多，但已知的却不多，因此对物价这一灰色系统的预测可以用灰色预测方法。



灰色系统理论认为对既含有已知信息又含有未知或非确定信息的系统进行预测，就是对在一定方位内变化的、与时间有关的灰色过程的预测。尽管过程中所显示的现象是随机的、杂乱无章的，但毕竟是有序的、有界的，因此这一数据集合具备潜在的规律，灰色预测就是利用这种规律建立灰色模型对灰色系统进行预测。-Gray theory that the behavior of the system even though the phenomenon is dim, the data is complex. Gray theory is to generate data model, not the original data model. The so-called gray system is a transition system is between the white and the black box system system, its specific meaning is: If all the information about a system known as the white system, all the information is unknown for the black box system, some of the information is known, some of the information unknown, then this system is a gray system. Generally, social systems, economic systems, ecosystems are gray systems. For example the price system, a lot of factors that lead to price increases, but not much is known, and therefore the price of the gray system prediction method can predict with gray. Grey system theory is that information on both a known or unknown determining system also contains information to predict, is the change in a certain position, the process time-related gray forecast. Although the phenomeno