Abstract：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.
王洪东,侯雪辉,高蕴慧,邹丽. 基于语言值有序对三元组的多类型数据标准化方法[J]. 模式识别与人工智能, 2019, 32(3): 278-286.
WANG Hongdong, HOU Xuehui, GAO Yunhui, ZOU Li. Unification of Multiple Class Data Based on Linguistic Ordered Pair 3-Tuple. , 2019, 32(3): 278-286.
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2019, Vol. 32 
