计算机科学 ›› 2012, Vol. 39 ›› Issue (3): 192-195.
• 人工智能 • 上一篇 下一篇
向东,赵勇,陈阳
出版日期:
发布日期:
XIANG Dong,ZHAO Yong,CHEN Yang
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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。
关键词: 群体研讨,结构化信息,信息融合
Abstract: 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 frame- work,valid arguments group and distribution function. A method is discussed,which is information fusion based on a- verage argument. All is to promote awareness of the spiral and groups to reach consensus. Finally, a case is provided to prove feasibility and effectiveness of model and method,which is discussion about customer's demand of car.
Key words: Group discussion, Structured information, Information fusion
向东,赵勇,陈阳. 不确定性研讨信息的结构化与融合方法[J]. 计算机科学, 2012, 39(3): 192-195. https://doi.org/
XIANG Dong,ZHAO Yong,CHEN Yang. Method of Structure and Fusion for Uncertainty Seminar Information[J]. Computer Science, 2012, 39(3): 192-195. https://doi.org/
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