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王克剑, 刘继红. 基于过程挖掘的共享设计脉络提取方法[J]. 计算机辅助设计与图形学学报, 2016, 28(11): 1965-1972.
引用本文: 王克剑, 刘继红. 基于过程挖掘的共享设计脉络提取方法[J]. 计算机辅助设计与图形学学报, 2016, 28(11): 1965-1972.
Wang Kejian, Liu Jihong. A Method of Extracting Shared Design Context Based on Process Mining[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(11): 1965-1972.
Citation: Wang Kejian, Liu Jihong. A Method of Extracting Shared Design Context Based on Process Mining[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(11): 1965-1972.

基于过程挖掘的共享设计脉络提取方法

A Method of Extracting Shared Design Context Based on Process Mining

  • 摘要: 针对目前协同设计的研究缺少快速形成有效设计共识的方法,导致难以发现协同认知规律及共识形成的认知机理的问题,提出一种基于过程挖掘的共享设计脉络提取方法来获得设计共识,以支持利用设计理性知识的知识融合型协同设计.首先从单个设计理性模型实例中提取设计脉络,并将其表达为Petri网模型;然后再应用改进α算法遍历各设计脉络,去除设计脉络中噪声对挖掘过程的影响,从而提取出共享设计脉络;最后将共享设计脉络转换为便于理解的共享设计理性模型.实例验证表明,该方法是有效的.

     

    Abstract: The current study which focuses on the collaborative design lacks the method to form and express design consensus rapidly and effectively, which makes it difficult to find out cognitive rules and the mechanism of consensus' formation. This paper proposes a method of extracting shared design context based on process mining, which supports the knowledge-fused collaborative design. Firstly, design context is extracted from a single design rationale model and represented as Petri net. Then, the improved α algorithm is applied to traverse each design context to extract the shared design context, while the influence of noise in the design context is removed. Finally, the shared design context in the Petri net is transformed into the well-understood design rationale model. A demonstrated example is taken to verify the effectiveness of the proposed method.

     

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