泛蕴涵推理机及其应用

A Universal Implication Inference Engine and Its Applications

本文提出模糊系统中基于泛逻辑的泛蕴涵推理机,给出其在描绘函数图形时的应用,同时比较了它与Mam-dani型和Lasen型两种模糊系统在描绘函数图形时的误差。分析和比较表明,在相同规则下含有泛蕴涵推理机的模糊系统产生的误差最低。

A universal implication inference engine based on universal logic is proposed for fuzzy systems. Its applications in drawing function figures are discussed. Moreover, the errors which occur in drawing function figures between this engine and other two fuzzy systems （Mamdani and Lasen） are compared. Analyses and comparisons show that the fuzzy system which includes the universal implication inference engine has the smallest errors under the same fuzzy rules.