摘要
当前模糊Petri网应用中模糊token通常由专家主观确定或依据经验直接给出,这可能会导致推理结果得出错误结论.针对该问题提出一种基于云模型的模糊Petri网token确定方法.该方法通过逆向云发生器先将专家或者经验知识转化成云概念,然后利用前件云发生器的方法计算得到被考察对象值相对于云概念的确定度,从而得到模糊Petri网的token初始值,为实现被考察物理量对模糊token的实时转换提供了方法支持.实例论证了云模型在确定模糊token初始值时的可行性与有效性.
The fuzzy tokens are always assigned subjectively or given directly from experience by experts in current application of fuzzy Petri nets, which may result in the incorrect conclusions to the reasoning result of the fuzzy Petri nets. An effective method based on cloud model is proposed for determining fuzzy tokens. Backward cloud generator is employed to transform the expert or ex- perimental knowledge into cloud concepts. And forward cloud generator is used to compute the degree of certainty that the evaluated object to the cloud concept. Thus the initial token of the fuzzy Petri nets is determined. The presented example confu＇rns the feasibility and validity of cloud model in computing fuzzy tokens.
出处
《小型微型计算机系统》
CSCD
北大核心
2014年第4期827-830,共4页
Journal of Chinese Computer Systems
基金
甘肃省发展和改革委项目(010DKB021)资助
