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

作　　者：向东[1] 赵勇[1] 陈阳[1] 

机构地区：[1]华中科技大学系统工程研究所,武汉430074

出　　处：《计算机科学》2012年第3期187-191,共5页Computer Science

基　　金：国家863计划(2009AA04Z107);湖北省自然科学基金(2010CDB01905)资助

摘　　要：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.

关 键 词：群体研讨 结构化信息 信息融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]