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A knowledge representation method for modeling rule-based systems
Yuan J(袁杰); Jiang B(姜波); Dan YG(单玉刚); Liu C(刘昶); Shang WL(尚文利)
Department自动化系统研究室
Conference Name2010 8th World Congress on Intelligent Control and Automation (WCICA 2010)
Conference DateJuly 7-9, 2010
Conference PlaceJinan, China
Author of SourceIEEE
Source Publication2010 8th World Congress on Intelligent Control and Automation (WCICA 2010)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2010
Pages1585-1589
Indexed ByEI ; CPCI(ISTP)
EI Accession number20104313325315
WOS IDWOS:000295959501127
Contribution Rank2
ISBN978-1-4244-6712-9
KeywordFuzzy Colored Petri Nets (Fcpn) Knowledge Representation Fuzzy Production Rules(Fprs) Modeling
AbstractKnowledge 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.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/7674
Collection自动化系统研究室
Affiliation1.School of Electrical Engineering, Xinjiang University, Urumqi 830000, Xinjiang Province, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, Liaoning Province, China
3.Graduate School, Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Yuan J,Jiang B,Dan YG,et al. A knowledge representation method for modeling rule-based systems[C]//IEEE. Piscataway, NJ, USA:IEEE,2010:1585-1589.
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