TY - EJOU
AU - Xi, Junhua
AU - Zheng, Kouquan
AU - Ma, Jianfeng
AU - Yang, Jungang
AU - Liang, Zhiyao
TI - Intuitionistic Fuzzy Petri Nets Model Based on Back Propagation Algorithm for Information Services
T2 - Computers, Materials \& Continua
PY - 2020
VL - 63
IS - 2
SN - 1546-2226
AB - 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 accurate and
credible, which is useful for information services. Finally, a typical example is given to
verify the effectiveness and superiority of the parameter optimization method.
KW - Intuitionistic fuzzy set
KW - intuitionistic fuzzy Petri nets
KW - production rule
KW - BP algorithm
DO - 10.32604/cmc.2020.06343