基于语言值有序对三元组的多类型数据标准化方法

Unification of Multiple Class Data Based on Linguistic Ordered Pair 3-Tuple

为了标准化处理多类型数据,基于语言值二元组,提出语言值有序对三元组表示模型,研究语言值有序对三元组及其性质,给出语言值有序对三元组之间的相似度.讨论语言值有序对三元组加权平均算子,构造模糊集、直觉模糊集、犹豫模糊集、语言真值直觉模糊集与语言值有序对三元组的标准化转化模型.结合语言值有序对三元组之间的相似度,将模糊集、直觉模糊集、犹豫模糊集、语言真值直觉模糊集的转化模型应用于模式识别中.最后,通过医院智能分诊的实例说明文中方法的合理性和有效性.

To unify multiple class data, the linguistic ordered pair 3-tuple representation model based on linguistic 2-tuple is proposed, and some of its properties are studied. Then, the similarity between linguistic ordered pair 3-tuple is produced. Meanwhile, the linguistic ordered pair 3-tuple weighted average operator is discussed. The standardized transformation models of fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, linguistic truth-valued intuitionistic fuzzy sets and linguistic ordered pair 3-tuple are constructed, respectively. Combined with the similarity between linguistic ordered pair 3-tuple, the standardized transformation models of fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, linguistic truth-valued intuitionistic fuzzy sets are applied to pattern recognition. Finally, the rationality and the effectiveness of the proposed method are illustrated via an example of hospital intelligent triage.