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| Unification of Multiple Class Data Based on Linguistic Ordered Pair 3-Tuple |
| WANG Hongdong1, HOU Xuehui1, GAO Yunhui1, ZOU Li1 |
| 1.School of Computer and Information Technology, Liaoning Normal University, Dalian 116081 |
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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.
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Received: 18 October 2018
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| Fund:Supported by National Natural Science Foundation of China(No.61772250,61673320,61672127), Fundamental Research Funds for Central Universities(No.26820172T12), Natural Science |
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Corresponding Authors:
ZOU Li, Ph.D., professor. Her research interests include multi-valued logic and uncertainty reasoning, and intelligent information processing.
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About author:: WANG Hongdong, master, lecturer. His research interests include pattern recognition and intelligent information processing.)
(HOU Xuehui, master student. Her research interests include multi-valued logic and uncertainty reasoning, and intelligent information processing.)
(GAO Yunhui, master student. Her research interests include multi-valued logic and uncertainty reasoning, and intelligent information processing.) |
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2019, Vol. 32 
