A generalized associative Petri net for reasoning

被引:163
作者
Shih, Dong-Her [1 ]
Chiang, Hsiu-Sen [1 ]
Lin, Binshan [1 ]
机构
[1] Louisiana State Univ, Coll Business Adm, Shreveport, LA 71115 USA
关键词
ontology; Petri net; reasoning; association rule; data mining;
D O I
10.1109/TKDE.2007.1068
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The application of fuzzy Petri Nets (FPNs) to the development of intelligent systems has received increasing attention recently. However, the fuzzy production rules are rather limited if the determination of certainty factor for each proposition is subjective. Unfortunately, this is the case for many existing FPNs. This paper proposes a generalized associative Petri net (APN) model with associative degree and knowledge representation of a rule-based system. Based on the generalized APN model, an efficient reasoning algorithm is proposed. The ontology mapping and the associative reasoning algorithm are described formally in details. An example of malicious e-mail reasoning is also included as an illustration.
引用
收藏
页码:1241 / 1251
页数:11
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