基于广义二型模糊Petri网的词计算模型

Computing with Words Model Based on Generalized Type-2 Fuzzy Petri Nets

针对词计算中词语义的不确定性问题,为提升词的计算能力,借助广义二型模糊集和Petri网细化词的语义特性,提出了基于广义二型模糊Petri网的词计算模型;将该模型扩展到模糊逻辑推理规则,形成了词流计算模型,并应用到医疗救护系统实例以检验模型的有效性与合理性.结果表明词计算模型具有良好的表达能力与泛化能力.

To solve the semantic uncertainty in computing with words（ CW） and improve the power of word computing,the computing with words model based on Generalized Type-2 Fuzzy Petri Nets（ GT2 FPNCW） is developed on the basis of generalized type-2 fuzzy sets and Petri Network for refining semantic characteristics of words. The model is then extended to the rules of fuzzy logic reasoning to form a model of computing with word flow. Finally,the model is applied to an exemplary medical rescue system for testing its validity and rationality. The result shows that the model of computing with word has good power of expression and generalization.