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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jie Yuan Bo Jiang Yugang Shan Chang Liu Wenli Shang |
| Copyright Year | 2010 |
| Description | Author affiliation: Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, Liaoning Province, China (Yugang Shan; Chang Liu; Wenli Shang) || School of Electrical Engineering, Xinjiang University, Urumqi 830000, China (Jie Yuan; Bo Jiang) |
| Abstract | 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. |
| Starting Page | 1585 |
| Ending Page | 1589 |
| File Size | 846304 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424467129 |
| e-ISBN | 9781424467129 |
| DOI | 10.1109/WCICA.2010.5554456 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pragmatics Petri nets Knowledge representation Production Cognition Color Computational modeling modeling fuzzy colored Petri nets (FCPN) knowledge representation fuzzy production rules(FPRs) |
| Content Type | Text |
| Resource Type | Article |
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