Article Preview
TopIntroduction
In recent years, the international situation has become increasingly severe, especially digitalization, so that a variety of information is integrated (Pan et al. 2021); the maturity of the Internet of Things technology and its application in military operations, which has increased the level of military threats. So that sensor networks, the Internet, and mobile communication networks are all closely integrated (Yang, Li, Kong, Wang, & Chen, 2018), through sensors, military equipment can intelligently sense the current situation (Yang et al. 2018). The threat of naval warfare has continued to increase, and warships are facing increasingly advanced weapon threats. Therefore, multiattribute threat assessment has become one of the key factors for a successful defense. Warship multiattribute threat assessment refers to the use of the collected target data by the combat command system to make the threat decision analysis of the multiple threat attributes of the attacking target according to the established algorithm model. In multiattribute threat assessment, warships are simultaneously affected by multiple factors, including target type, anti-jamming capability, heading angle, altitude, and speed. The threat assessment model needs to quickly and accurately analyze the threat of the target to the surface warship according to the obtained information and the current situation.
In the threat target assessment of multiattribute decision-making, the main method is to use the entropy method to construct a threat assessment matrix and objectively analyze the quantified data (Zhaowang, Kou, Wang, & Wang, 2009) to obtain the weight of each threat factor. However, in practical applications, the total use of the entropy weight method makes the evaluation result more objective and biased. (Qin et al. 2020) combines analytic hierarchy process (AHP) and the entropy weight method to establish warship missiles’ performance index system structure. The experimental results show that evaluating the warship missile combat system is more accurate using the combination weighting method. In this paper, the combined weighting method based on the entropy weight method and the analytic hierarchy process is used to comprehensively determine the weight of each threat factor. In solving the actual problem of naval air raid target threat assessment, based on the combination of entropy and the analytic hierarchy process, the weight of each attribute of the air raid target is analyzed, and a hierarchical and scientific evaluation system model is established. It considers the characteristics of such complex problems when the warship intercepts air targets. In the traditional multiattribute target evaluation problem, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm is usually used to determine the weight (Li, Yuan, & Chen, 2020). In the literature (Geng, Zhang, & Hao, 2011), the establishment of TOPSIS’s multitarget decision analysis method is mainly used to determine air threat targets. Quick decision supports. Among them, the TOPSIS method can reflect the overall situation and conduct a comprehensive evaluation, and has universal applicability (Chen, 2021), while gray relational theory is an analysis method for processing uncertain information (Wu, Wang, Yang, Li, & Yang, 2018). In this article, a threat assessment model based on improved TOPSIS gray correlation analysis is constructed to more accurately distinguish the weight of threat factors, and the weighted Mahalanobis distance is used to improve the TOPSIS gray correlation analysis method to calculate the comprehensive gray correlation degree of each threat factor. The weighted Mahalanobis distance between each factor and the positive and negative absolute ideal state replaces the original algorithm’s Euclidean distance to improve the calculation result’s comprehensive closeness.