Extended Fuzzy Petri Net for multi-stage fuzzy logic inference

Hung Pin Chen*, Zong Mu Yeh

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)


This paper presents a new extended Fuzzy Petri Net (EFPN) model to demonstrate the dynamic behavior of fuzzy inference systems during their executing process. The proposed EFPN model is based on our previously proposed fuzzy reasoning algorithms and implemented in GUI environment to support visual views of the dynamic behavior. The EFPN components and function are mapped from the different type of fuzzy operators of if-parts and then-parts in fuzzy rules. Further, only active fuzzy operators of active fuzzy rules are shown in the GUI windows to present the dynamic behavior. On the other hand, low complexity of the entire proposed EFPN model is available due to the mapping from the proposed fuzzy reasoning algorithms. This proposed method can decrease computation time and provide clear and global views of the dynamic behavior to the designers to reduce their design effort. The EFPN model has been applied to control a truck-and-two-trailer system. The simulation results showed that the proposed method is feasible.

Original languageEnglish
Number of pages6
Publication statusPublished - 2000
Externally publishedYes
EventFUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems - San Antonio, TX, USA
Duration: 2000 May 72000 May 10


ConferenceFUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems
CitySan Antonio, TX, USA

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics


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