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Knowledge acquisition and representation using fuzzy evidential reasoning and dynamic adaptive fuzzy Petri nets

Hu-Chen Liu1, Long Liu, Qing-Lian Lin

  • 1Department of Industrial Engineering and Management, Tokyo Institute of Technology, Tokyo 152-8552, Japan. huchenliu@foxmaill.com

IEEE Transactions on Cybernetics
|June 13, 2013
PubMed
Summary

Expert systems face challenges in knowledge acquisition and representation. This study introduces a novel approach using fuzzy evidential reasoning and dynamic adaptive fuzzy Petri nets (FPNs) for more intelligent knowledge reasoning.

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