基于双重语言信息联动的多阶段决策模型

研究双重语言信息联动下多阶段决策信息的动态集结方法. 考虑决策依据信息和专家偏好信息的自身特点, 设计基于双重语言信息融合的多阶段决策问题分析框架; 分析决策信息的动态变化特征, 以两类信息之间差异最小为原则构建规划模型群, 探寻阶段权重和各阶段下属性权重的具体表现; 设定决策者的信息偏好程度, 集结方案的动态综合绩效和专家判断结果, 在多阶段情形下实现候选方案的优选决策. 最后通过算例验证了所提出方法的科学性和适用性.

Multi-stage decision model for aggregating dual linguistic evaluation information

A multi-stage information aggregation method is studied, which concerns the influences of both decision information and judgment information. Specifically, an analysis frame is established according to the dual information structure which includes decision support information and experts’ preference information. Additionally, a programming is constructed in multi-stage, in which the objective is minimizing the differences of the above decision information. Furthermore, a preference degree is studied to aggregate the information of both dynamic comprehensive preferences and expert’s judgment information. Finally, a numerical case is conducted to verify the feasibility and rationality of the proposed method.