Fuzzy Petri nets combine the structural clarity of Petri nets with the uncertainty‐handling capabilities of fuzzy logic. At their core, Petri nets model concurrent and distributed systems through ...
In real-world decision-making scenarios, uncertainty and hesitation frequently arise due to incomplete, imprecise, or conflicting expert opinions. Traditional fuzzy models often fail to adequately ...