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Knowledge representation using fuzzy Petri nets-revisited
1998
IEEE Transactions on Knowledge and Data Engineering
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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 d s to proposition d j and if the degree of truth of proposition d s is given, then the degree of truth of proposition d j 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
doi:10.1109/69.706063
fatcat:t5n552tqzzbmflvmgeak4sxpqe