【摘 要】
：
为强化模糊Petri网的知识表示能力,提出了一种多属性模糊Petri网（AFPN）,即在模糊Petri网的基础上,为每个库所及权值赋予与实际系统相对应的多个属性,以简单模型结构完成具有多
【机 构】
：
天津理工大学自动化学院,东南大学自动化学院,复杂工程系统测量与控制教育部重点实验室
论文部分内容阅读
为强化模糊Petri网的知识表示能力,提出了一种多属性模糊Petri网（AFPN）,即在模糊Petri网的基础上,为每个库所及权值赋予与实际系统相对应的多个属性,以简单模型结构完成具有多个属性的系统的建模.利用知识化制造系统的知识库,对多属性模糊Petri网进行属性分解、属性合并以及训练更新,并对不规则模型进行规则化,可以在原有产品的AFPN模型基础上简单快速建立后续产品的AFPN新模型.在产品需求预测的实例中,采用原材料和产品的各需求相关因素建立产品的需求预测AFPN,实现了产品需求的快速预测.
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