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.
| Original language | English |
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| Pages | 3072-3075 |
| Number of pages | 4 |
| Publication status | Published - 2004 |
| Event | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China Duration: 15 Jun 2004 → 19 Jun 2004 |
Conference
| Conference | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 15/06/04 → 19/06/04 |
Keywords
- Fuzzy colored Petri net (FCPN)
- Fuzzy production rule
- Intelligence fusion
- Multi-sensor
- Network security