中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A knowledge representation method for modeling rule-based systems

文献类型:会议论文

作者Yuan J(袁杰); Jiang B(姜波); Dan YG(单玉刚); Liu C(刘昶); Shang WL(尚文利)
出版日期2010
会议名称2010 8th World Congress on Intelligent Control and Automation (WCICA 2010)
会议日期July 7-9, 2010
会议地点Jinan, China
关键词fuzzy colored Petri nets (FCPN) knowledge representation fuzzy production rules(FPRs) modeling
页码1585-1589
中文摘要Knowledge representation has been the critical and intractable issues for a knowledge-based system, especially for complex or large systems. This paper proposes a knowledge representation approach for modeling rule-based systems using the defined fuzzy colored Petri nets (FCPN). The main advantages of this approach differ from the conventional ones consist in modeling rule-based systems particularly, realizing smaller model spaces, more compact data structures and fuzzy information processing. For a large or complex rule-based system, the advantages are more evident. An instance demonstrates that the presented approach is feasible and practical.
收录类别EI ; CPCI(ISTP)
产权排序2
会议主办者IEEE
会议录2010 8th World Congress on Intelligent Control and Automation (WCICA 2010)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4244-6712-9
WOS记录号WOS:000295959501127
源URL[http://ir.sia.cn/handle/173321/7674]  
专题沈阳自动化研究所_自动化系统研究室
推荐引用方式
GB/T 7714
Yuan J,Jiang B,Dan YG,et al. A knowledge representation method for modeling rule-based systems[C]. 见:2010 8th World Congress on Intelligent Control and Automation (WCICA 2010). Jinan, China. July 7-9, 2010.

入库方式: OAI收割

来源:沈阳自动化研究所

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