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Knowledge Representation Using Fuzzy Petri Nets-Revisited
July/August 1998 (vol. 10 no. 4)
pp. 666-667

Abstract—In the paper entitled "Knowledge Representation Using Fuzzy Petri Nets" [1], Chen, Ke, and Chang proposed an algorithm which determines whether there exists an antecedent-consequence relationship from a fuzzy proposition ds to proposition dj and if the degree of truth of proposition ds is given, then the degree of truth of proposition dj can be evaluated. The fuzzy reasoning algorithm proposed in [1] was found not to be working with all types of data. Here we propose 1) a modified form of the algorithm, and 2) concept of hierarchical Fuzzy Petri Nets for data abstraction.

[1] S.M. Chen, J.S. Ke, and J.F. Chang, “Knowledge Representation Using Fuzzy Petri Nets,” IEEE Trans. Knowledge and Data Eng., vol. 2, no. 3, pp. 311-319, Sept. 1990.

Index Terms:
Fuzzy reasoning, backward arc, compound transition, adjacency.
Citation:
T.v. Manoj, John Leena, Rajan B. Soney, "Knowledge Representation Using Fuzzy Petri Nets-Revisited," IEEE Transactions on Knowledge and Data Engineering, vol. 10, no. 4, pp. 666-667, July-Aug. 1998, doi:10.1109/69.706063
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