基于语言值有序对三元组的多类型数据标准化方法

doi:10.16451/j.cnki.issn1003-6059.201903009

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摘要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.

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	王洪东
	侯雪辉
	高蕴慧
	邹丽

关键词 ：模糊集, 直觉模糊集, 犹豫模糊集, 语言真值直觉模糊集, 语言值有序对三元组

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.

Key words： Fuzzy Set Intuitionistic Fuzzy Set Hesitant Fuzzy Set Linguistic Truth-Valued Intuitionistic Fuzzy Set Linguistic Ordered Pair 3-Tuple

收稿日期: 2018-10-18

基金资助:国家自然科学基金项目(No.61772250,61673320,61672127)、中央高校基本科研业务项目(No.2682017ZT12)、辽宁省自然科学基金项目(No.201602464)资助

通讯作者: 邹丽,博士,教授,主要研究方向为多值逻辑与不确定性推理、智能信息处理.E-mail:zoulicn@163.com.

作者简介: 王洪东,硕士,讲师,主要研究方向为模式识别、智能信息处理.E-mail:wanghongdong.lnnu@163.com.
侯雪辉,硕士研究生,主要研究方向为多值逻辑与不确定性推理、智能信息处理.E-mail:houxuehuilnnu@163.com.
高蕴慧,硕士研究生,主要研究方向为多值逻辑与不确定性推理、智能信息处理.E-mail:gaoyunhuilnnu@163.com.

引用本文:

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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