不确定幂加权几何平均算子的动态多目标决策

针对方案属性信息不确定、决策信息分布多个阶段以及传统加权平均算子权重没有考虑集成数据间相互关系等问题,提出一种基于不确定幂加权几何平均算子的动态多目标决策方法.该方法不仅可以集结决策者在多阶段给出的不确定信息,同时结合模糊集理论,考虑了集结模糊信息时数据间的支撑程度对权重系数的影响,强化了对模糊信息的处理,使得被评估的信息更加贴近实际.然后给出基于可能度的排序方法来选择最优方案.最后通过算例分析说明了所提出方法的合理性和可行性.

Dynamic multiple criteria decision making method with uncertain power geometric weighted average operators

In order to consider the uncertainty information, decision information distribution of multi stages as well as the traditional weighted average operator without considering the integration among the data relationship, a dynamic multiple criteria decision making method with uncertain power geometric weighted average operators is proposed. In the method, combining the fuzzy set theory, the uncertainty information in multi stages are aggregated, and the support degree among the data relationship are also considered. Moreover, the processes of handling fuzzy evaluation information are strengthened, and the evaluated results are more close to the actual. The ranking method based on possibility degree is used to select the optimal alternative. Finally, a numerical example is introduced to illustrate the reasonability and feasibility of the proposed method.