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<p><b>Abstract</b>—In the paper entitled "Knowledge Representation Using Fuzzy Petri Nets" [<ref rid="bibk06661" type="bib">1</ref>], Chen, Ke, and Chang proposed an algorithm which determines whether there exists an antecedent-consequence relationship from a fuzzy proposition d<sub>s</sub> to proposition d<sub>j</sub> and if the degree of truth of proposition d<sub>s</sub> is given, then the degree of truth of proposition d<sub>j</sub> can be evaluated. The fuzzy reasoning algorithm proposed in [<ref rid="bibk06661" type="bib">1</ref>] 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.</p>
Fuzzy reasoning, backward arc, compound transition, adjacency.
John Leena, Rajan B. Soney, T.v. Manoj, "Knowledge Representation Using Fuzzy Petri Nets-Revisited", IEEE Transactions on Knowledge & Data Engineering, vol. 10, no. , pp. 666-667, July/August 1998, doi:10.1109/69.706063
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