This paper first discusses the establishment of multi-attribute decision problem model and the determination of weights. Then this paper points out a situation that the method of updating weights using the fixed weight vector cannot effectively describe the weights’ variation when the state vector is continuously changing. To get rid of this problem, an iterative weight updating method is proposed. Finally, based on the existing optimistic coefficient method, the influence of high-order terms is discussed: updating weights with the fixed weight vector and updating weights with iteration. Experiments show that the higher-order terms in the state variable weight vector have a negative effect on the decision result.

本文首先讨论了多属性决策问题模型的建立和权重的确定。然后指出了一种情况，当状态向量不断变化时，使用固定权重向量更新权重的方法不能有效地描述权重的变化。为了解决这个问题，提出了一种迭代权重更新方法。最后，在现有的乐观系数法的基础上，讨论了高阶项的影响：用固定权重向量更新权重和用迭代更新权重。实验表明，状态变量权向量中的高阶项对决策结果有负面影响。