针对动态多指标系统的决策特点，对指标数据初始化处理时，利用“奖优罚劣”原则，提出了一种易于计算且实用的［-1，1］线性变换算子，用此方法寻求各时段的正、负理想方案，建立一种新的基于动态多指标灰色关联分析决策模型，在模型中充分考虑了各指标在系统中的成长特性，将此特性用于灰色关联分析，为动态多目标决策问题提供了一种科学、实用的方法，并利用现有的实例来证实此方法的科学性与可行性。

Based on the decision character of the dynamic multiple-attribute system, in initializing the attribute data, a new linear changing operator in [-1,1], which is easy to compute and be applied, is proposed. By this method to find the positive and negative ideal precept of each period, a new grey incidence decision model of the dynamic multi-attribute is establishod. In this model, the developing character of each attribute in the system is fully consider, and applied to grey incidence analysis. All of the above provide a scientific and applied decision method for the dynamic multiple - attribute decision problems. Lastly, this method is demonstrated to be scientific and effective with a practical example.