灰色系统理论研究,是信息不完全的对象、内涵不确定的概念、关系不明确的机制的一门理论科学。它能克服常规概率统计的弱点,从杂乱无章的、有限的、离散的数据中找出规律,并建立灰色模型来作为相应的分析、预测、决策和规划的依据。本文以红皮云杉幼树高生长为例,将建立[GM(1.1)]灰色预测模型方法简介如下。 The study of gray system theory is an object of incomplete information, the connotation of the concept of uncertainty, a mechanism of theoretical uncertainty related to science. It overcomes the weaknesses of conventional probabilistic statistics, finds rules from disorganized, finite, discrete data and builds gray models as the basis for appropriate analysis, prediction, decision-making and planning. In this paper, the growth of spruce saplings was taken as an example to introduce the method of establishing [GM (1.1)] gray prediction model as follows.