一种基于变权的动态多属性决策方法

针对实际问题中决策信息不完全的动态多属性决策问题, 提出了广义优序法. 将决策问题转化为各方案的广义优序数矩阵问题, 并在此基础上引入逼近理想解的排序法思想, 提出了确定属性权重和时间权重的变权方法. 该方法体现了对决策属性、时间样本的重要性和决策者的主观偏好, 使得决策结果更加符合决策者的选择. 最后通过实例分析验证了所提出方法的科学性和有效性.

A method of dynamic multi-attribute decision making based on variable weight

An approach of generalized optimum ordering is proposed considering the problem of dynamic multi-attribute decision making with incomplete decision information in practice. The decision problem is transformed into the matrix problem of generalized optimum ordering number. Meanwhile, a new method of determining the dynamic weight including both attribute-weight and time-weight is given based on the idea of TOPSIS, which reflects the subjective preference of the decision maker and the importance of the attributes and time-samples, making the decision results coincident with the desire of decision makers. Finally, an example is given to show the feasibility and effectiveness of the proposed theory.