Junhua Xi1, *, Kouquan Zheng1, Jianfeng Ma1, Jungang Yang1, Zhiyao Liang2
CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 605-619, 2020, DOI:10.32604/cmc.2020.06343
Abstract Intuitionistic fuzzy Petri net is an important class of Petri nets, which can be
used to model the knowledge base system based on intuitionistic fuzzy production rules.
In order to solve the problem of poor self-learning ability of intuitionistic fuzzy systems,
a new Petri net modeling method is proposed by introducing BP (Error Back
Propagation) algorithm in neural networks. By judging whether the transition is ignited
by continuous function, the intuitionistic fuzziness of classical BP algorithm is extended
to the parameter learning and training, which makes Petri network have stronger
generalization ability and adaptive function, and the reasoning result is… More >
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