期刊
INFORMATION SCIENCES
卷 597, 期 -, 页码 274-299出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2022.03.048
关键词
Multi-granularity rough concept analysis; Dominance rough set; Data and knowledge fusion; Traditional Chinese medicine (TCM); Western medicine
资金
- National Natural Science Foundation of China [72071152, 71571090, 61871141]
- Guangzhou Key Research and Devel-opment Program (2022)
- Youth Innovation Team of Shananxi Universities (2019)
- Guangdong Provinical Key Laboratory of Chinese Medicine for Prevention and Treatment of Refractory Chronic Diseases [2018B030322012]
- State Key Laboratory of Dampness Syndrome of Chinese Medicine [SZ2021ZZ3004]
- Xi'an Science and Technology Projects [XA2020-RKXYJ-0086]
This paper discusses the application of multi-granularity conceptual analysis in solving uncertain decision-making problems. By combining dominance rough sets with formal concept analysis methods, a multi-granularity formal concept analysis model that integrates data and knowledge representation is established and applied to the clinical diagnosis decision-making model of integrated traditional Chinese medicine and Western medicine.
Multi-granularity conceptual analysis has become an essential tool for data analysis and knowledge representation. This paper abstracts a class of uncertain decision-making problems, which integrate data and knowledge features from the clinical knowledge representation and decision-making process of integrated traditional Chinese medicine (TCM) and Western medicine. Under the framework of multi-granularity rough sets, we combine dominance rough sets with formal concept analysis methods to give a quantitative description of this uncertain decision-making problem. First, we define a multi-granularity formal context with attribute dominance relation. Then we give the concept lattice generation method under the formal context of multi-granularity dominance attributes and establish a multi-granularity formal concept analysis model that integrates data and knowledge representation. Meanwhile, the basic form of the multi-granularity dominance rough concept analysis model, the differences between existing rough sets and concept lattices, and their connections are discussed in details. Further, a clinical diagnosis decision-making model of integrated TCM and Western medicine, which fuses data driven Western medicine classification standard and knowledge-driven TCM diagnostic standard, is formed with the actual clinical diagnosis and treatment decision-making process of integrated TCM and Western medicine.(c) 2022 Elsevier Inc. All rights reserved.
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