Title :
Multi-sensor information intelligence fusion model using fuzzy colored Petri Nets
Author :
Huaizhi, Yan ; Changzhen, Hu ; Huimin, Huimin
Author_Institution :
Nat. Key Lab. of Mechatronics & Control, Beijing Inst. of Technol., China
Abstract :
The uncertainty knowledge representation, reasoning and its model complexity are the main difficulties in multi-sensor information intelligence fusion (MSIIF) system. A fuzzy colored Petri net (FCPN) model was presented to solve above questions. Its operation mechanism was profoundly studied in details. FCPN model can effectively deal with uncertainty, fuzzy knowledge, especially for fuzzy production rules in MSIIF. It makes MSIIF reasoning process become more easy and intuitionistic. Furthermore, MSIIF model complexity can be remarkably reduced. It has been illustrated throughout FCPN applications to the network security surveillance system (NS3) and shown superior performance. This technique is quite general and can be applied to other uncertainty information fusion systems or intelligence decision-making systems.
Keywords :
Petri nets; fuzzy set theory; inference mechanisms; knowledge representation; security; sensor fusion; surveillance; fuzzy colored Petri Nets; fuzzy production rule; intelligence decision-making systems; multisensor information intelligence fusion model; network security surveillance system; uncertainty knowledge representation; Fuzzy reasoning; Fuzzy systems; Information security; Intelligent systems; Knowledge based systems; Knowledge representation; Machine intelligence; Petri nets; Production systems; Uncertainty;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343084
