无决策属性的多属性决策权重融合方法

针对无决策属性的多属性决策系统的2种属性权重分配方法(主观赋权法和客观赋权法)的缺陷，提出了一种新的权重融合方法．该方法通过建立数学规划模型，用遗传算法寻求其全局最优解，以确定最佳的主客观权重融合方案，从而可以避免权重融合时人为偏好的影响．最后，给出了1个实例．

Weight Syncretizing for Multiattribute Decision-Making without Decision Attribute

A syncretized weight allocation method was proposed to overcome the limitations of two weight allocation methods of multiattribute decision-making without decision attribute, i.e., the impersonal method and the subjective method. To obtain the optimal weight integration between subjective weights and objective ones with this method, a mathematical planning model was set up and the genetic algorithm was used to gain the global optimal solution. As a result, subjective factors in weigh syncretizing can be avoided with this method. At last, an instance was given out.