基于直觉模糊Petri网的知识表示与推理  

Knowledge Representation and Reasoning Based on Intuitionistic Fuzzy Petri Nets

作　　者：赵强 Zhao Qiang(School of Economics and Management,Wuyi University,Jiangmen Guangdong 529020,China)

机构地区：[1]五邑大学经济管理学院,广东江门529020

出　　处：《信息与电脑》2018年第21期35-36,39,共3页Information & Computer

摘　　要：在现代生活中,知识表示与推理作为研究多种系统的具体方法,仍有很多不足。为了使知识表示变得更加全面性和适用性,结合Petri网模型和知识表示,使知识表示更加完善。通过Petri网表示知识,以Petri的特点对研究系统进行各种推理,广义的使用知识表示,通过Petri网作为载体进行分析推理。In modern life,knowledge representation and reasoning,as a specific method for studying multiple systems,still have many deficiencies,in order to make the method of knowledge representation more comprehensive and applicable.In this paper,the Petri net model and knowledge representation are combined to make the knowledge representation more perfect.The knowledge is expressed through the Petri net.Then,the Petri net is used to carry out various reasoning on the system to be studied,and the knowledge representation is used in a broad sense.The Petri net is used as the carrier.Analytical reasoning.

关 键 词：模糊PETRI网 知识表示 推理 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP301.1[自动化与计算机技术—控制科学与工程]