期刊
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
卷 146, 期 -, 页码 47-61出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ijar.2022.03.009
关键词
Cost-sensitive learning; Sequential three-way decisions; Multi-granularity; Multi -class decision
资金
- National Key Research and Development Program of China [2020YFC2003502]
- National Natural Science Foundation of China [61876201]
This study proposes a new sequential multi-class three-way decision model by considering the granular structure of the sequential process. The model defines decision cost, calculates attribute sequence, and the experimental results demonstrate its advantage in decision cost.
The theory of sequential three-way decisions which is in accordance with human cognition is a multi-stage decision-making progress. In fact, sequential strategy can deal with multi-class decision effectively. However, few researchers have focused on the attribute significance under multi-class decision from the perspective of cost-sensitive learning in the theory of sequential three-way decisions. By considering reconstructing the granular structure of sequential process, a new sequential multi-class three-way decision model is proposed. First, two types of decision cost in the proposed model are defined. Next, the attribute significance based on decision cost for specific class is devised. Then, through the TOPSIS method, a progress for calculating attribute sequence is proposed. Finally, the experimental results show that the performance of the proposed model has lower decision cost compared with the sequential multi-class three-way decisions. (c) 2022 Elsevier Inc. All rights reserved.
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