不确定性研讨信息的结构化与融合方法

Method of Structure and Fusion for Uncertainty Seminar Information

群体研讨中专家思维的不确定性、研讨信息的非结构化给达成研讨共识带来了困难。针对此问题提出了一个由自然属性与人工属性集成的研讨信息模型,结合论点框架、有效论点组和支持分配函数等概念,研究了不确定性研讨信息提取的机制,探讨了一种基于平均论据的信息融合方法,旨在促进认识的螺旋上升和群体共识的达成。最后结合以汽车为对象的客户需求研讨,用案例说明了模型和方法的可行性与有效性。

In group discussion, because the thinking of experts is uncertainty and information is unstructured, group discussion is difficult to reach consensus. To solve this problem, this article gives a information model which is composited of natural and artificial property. Mechanism of how to extract uncertainty information is studied with argument framework,valid arguments group and distribution function. A method is discussed, which is information fusion based on average argument. All is to promote awareness of the spiral and groups to reach consensus. Finally, a case is provided to prove feasibility and effeetiveness of model and method, which is discussion about customor ＇s demand of car.