Target Threat Level Classification Based on Improved Three-way Decisions

• Published in: Journal of physics. Conference series Vol. 2832; no. 1; pp. 12010 - 12017
• Main Authors: Li, Shikai, Long, Xin, Zeng, Yaoyuan, Wang, Xueying
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2024
• Subjects: Classification; Decision support systems; Fuzzy sets
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2832/1/012010

Abstract Air target threat assessment is of great importance in military decision-making, as it involves ranking enemy targets based on their threat level. Existing methods only provide rankings without offering decision support for combating, observing, or opting no action, which makes it difficult to deal with complex combat situations in real time. Therefore, we propose a method for threat level classification based on improved three-way decisions (TWD). In addition, considering that certain attribute information contains deviation, we introduce the theory of interval-valued intuitionistic fuzzy set (IVIFS) to address uncertain information. Meanwhile, in order to make full use of the interval numbers, we innovatively propose a loss function based on the attribute dominance degree to enhance accuracy of threat level classification. The experimental results show that our method can effectively handle uncertain information and provide decision support to the decision-makers, while the improvement of the classification ability is demonstrated through comparative experiment.