摘要
为解决FPNFCPN建模与推理过程中存在模型规模急剧增大、模糊变量颜色化的作用有限、无法表示知识分类等问题,提出了一种改进的对象化模糊Petri网(FPN)建模及模糊推理算法.该算法采用面向对象技术化简规模庞大的模糊赋色Petri网(FCPN),经简化的FCPN退化为普通的FPN,但是库所中托肯的语义也发生了变化,它不仅表示模糊语言变量的集合,更重要的是它可作为其他FCPN的引用.最后将该算法应用于协同设计环境中任务分配的模糊推理过程,可有效地降低Petri网模型的复杂程度,且对象化FPN模型直观,易于理解.
To cope with the problems that the model＇s size is increased rapidly, functionality of colored fuzzy variable is limited and the knowledge classification can＇ t be represented in modeling of FPN/FCPN and reasoning process, an improved object-based FPN modeling and fuzzy reasoning algorithm was proposed. The object-oriented technique is used to simplify the large-scale FCPN, and the simplified FCPN could be degenerated into an original FPN while changing the semantic of tokens. It not only represents the fuzzy language variable set, but more important, it also can be regarded as the reference of other FCPN. Finally, the method is applied to the fuzzy inference procedures for the ask allocation in collaborative design environment, and shows that the method reduces the model complexity efficiently, and the objectified model is intuitive and easy to be understood.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2006年第5期709-714,共6页
Journal of Computer-Aided Design & Computer Graphics
