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| Triadic Concept Updating under Dynamic Changes of Triadic Contexts |
| LIU Jun1,2, WEI Ling1,2, WANG Xiao1,2, LI Jiawei3 |
1. School of Mathematics, Northwest University, Xi'an 710127;
2. Institute of Concepts, Cognition and Intelligence, Northwest University, Xi'an 710127;
3. School of Computer Science and Technology, Xidian University, Xi'an 710071 |
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Abstract Triadic concept analysis, as a three-dimensional extension of formal concept analysis, takes triadic concepts as its basic units to enable knowledge discovery in three-dimensional data. When the data change dynamically, the update of triadic concepts is inevitable. However, the recomputation of all triadic concepts is time-consuming. Since dynamic changes in a triadic context essentially involve the alterations in triadic relations, a method for triadic concept updating when an object-attribute-condition triple is added to the triadic context is proposed. First, eight distinct scenarios of the newly added triple are classified into three updating types. Then, a formal context induced by the triadic context and its formal concepts are introduced and combined with the candidate set. The updating methods for triadic concepts in various cases are presented. Finally, an algorithm for updating triadic concepts is developed, and experiments are conducted to verify the effectiveness of the proposed algorithm.
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Received: 06 June 2026
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| Fund:Supported by National Natural Science Foundation of China(No.12171392), Shaanxi Fundamental Science Research Project for Mathematics and Physics(No.23JSZ008) |
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Corresponding Authors:
WEI Ling, Ph.D., professor. Her research interests include formal concept analysis, rough sets, three-way decision and granular computing.
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About author:: LIU Jun, Master student. Her research interests include formal concept analysis and three-way concept analysis.
WANG Xiao, Ph.D. candidate. His research interests include formal concept analysis, three-way concept analysis and granular computing.
LI Jiawei, Master student. His research interests include formal concept analysis, three-way concept analysis and neural networks. |
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2026, Vol. 39 
