基于IAHP-CRITIC-MARCOS的多种类目标威胁评估

doi:10.12305/j.issn.1001-506X.2025.04.21

Abstract

Abstract:

For the problem that traditional target threat evaluation is usually oriented only to a single type of target, a target threat evaluation index system is constructed from a system perspective and a system target threat evaluation method based on interval analytic hierarchy process-criteria importance through inter-criteria correlation-measurement alternatives and ranking according to compromise solution (IAHP-CRITIC-MARCOS) is proposed. Firstly, the IAHP and the CRITIC method are utilized to determine the subjective and objective weights of each criterion respectively. Secondly, based on the principle of minimal information identification, these weights are integrated to form a comprehensive weighting system, aimed at overcoming the limitations inherent to relying solely on single-weight methodologies. Then, the MARCOS is used to calculate threat value of each target and perform threat ranking. Finally, the results of target threat ranking using grey relational analysis (GRA), technique for order preference by similarity to ideal solution (TOPSIS), GRA-TOPSIS, and MARCOS are compared and analyzed, and the scientificity and effectiveness of the proposed method are validated.

Key words: target threat evaluation, criteria system, comprehensive weighting, measurement alternatives and ranking according to compromise solution (MARCOS)

CLC Number:

TJ7
TN95

Tianjian YANG, Xing WANG, Siyi CHENG, You CHEN, Xi ZHANG, Zhiheng ZHANG. Multi-type target threat evaluation based on IAHP-CRITIC-MARCOS[J]. Systems Engineering and Electronics, 2025, 47(4): 1246-1254.

Figures/Tables 13

Fig.1

Table 1

Table 2

Table 3

Fig.2

Table 4

Table 5

Fig.3

Fig.4

Table 6

Table 7

Fig.5

Fig.6

References 30

1	LI J H, WU Q Y, HUANG Y, et al. Research analysis of electromagnetic target threat assessment in electromagnetic spectrum warfare[C]//Proc. of the International Conference on Ubiquitous Communication, 2023: 75-82.
2	YU X J , WEI S , FANG Y Y , et al. Low-altitude slow small target threat assessment algorithm by exploiting sequential multifeature with long short-term memory[J]. IEEE Sensors Journal, 2023, 23 (18): 21524- 21533. doi: 10.1109/JSEN.2023.3301090
3	GAO Y , LI D S , ZHONG H . A novel target threat assessment method based on three-way decisions under intuitionistic fuzzy multi-attribute decision making environment[J]. Engineering Applications of Artificial Intelligence, 2020, 87, 103276. doi: 10.1016/j.engappai.2019.103276
4	XU Y J , WANG Y C , MIU X D . Multi-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy sets[J]. Journal of Systems Engineering And Electronics, 2012, 23 (6): 891- 897. doi: 10.1109/JSEE.2012.00109
5	XI Z F , KOU Y X , LI Y , et al. A dynamic air combat situation assessment model based on situation knowledge extraction and weight optimization[J]. Aerospace, 2023, 10 (12): 994. doi: 10.3390/aerospace10120994
6	ZHAO R J , YANG F B , JI L N . An extended fuzzy CPT-TODIM model based on possibility theory and its application to air target dynamic threat assessment[J]. IEEE Access, 2022, 10, 21655- 21669. doi: 10.1109/ACCESS.2022.3153361
7	ZHANG J D , YU Y F , ZHENG L H , et al. Situational continuity- based air combat autonomous maneuvering decision-making[J]. Defence Technology, 2023, 29 (8): 66- 79.
8	王俊迪, 王星, 田元荣, 等. 基于行为特征的雷达辐射源威胁评估[J]. 北京航空航天大学学报, 2024, 50 (10): 3196- 3207.
	WANG J D , WANG X , TIAN Y R , et al. Threat assessment of radar radiation sources based on behavioral characteristics[J]. Journal of Beijing University of Aeronautics and Astronautics, 2024, 50 (10): 3196- 3207.
9	田秀丽, 崔亦斌, 马宏刚. 地空导弹对突防飞机的威胁评估模型[J]. 火力与指挥控制, 2006, 31 (11): 24- 27.
	TIAN X L , CUI Y B , MA H G . Threat assessment model study for sam to penetration plane[J]. Fire Control and Command Control, 2006, 31 (11): 24- 27.
10	LEMMDN J. E-2D Advanced Hawkeye Aircraft (E-2D AHE) selected acquisition report-SAR[R]. Patuxent River, MD: Naval Air Systems Command Program Executive Office, 2013.
11	张先超, 傅宇龙, 叶海军, 等. 以预警机为核心的空中联合作战导弹武器打击能力分析[J]. 指挥与控制学报, 2022, 8 (1): 50- 56.
	ZHANG X C , FU Y L , YE H J , et al. Missile combat capabi-lity analysis in air joint operations with airborne warning and control system as the center[J]. Journal of Command and Control, 2022, 8 (1): 50- 56.
12	YIN Y F , ZHANG R T , SU Q R . Threat assessment of aerial targets based on improved GRA-TOPSIS method and three-way decisions[J]. Mathematical Biosciences and Engineering, 2023, 20 (7): 13250- 13266. doi: 10.3934/mbe.2023591
13	STEVIC Z , PAMUCAR D , PUSKA A , et al. Sustainable supplier selection in healthcare industries using a new MCDM method: measurement of alternatives and ranking according to compromise solution (MARCOS)[J]. Computers & Industrial Engineering, 2020, 140, 106231.
14	STANKOVIC M , STEVIC Z , DAS D K , et al. A new fuzzy MARCOS method for road traffic risk analysis[J]. Mathematics, 2020, 8 (3): 457.
15	ZENG S Z , YE A Q , SU W H , et al. Site evaluation of subsea tunnels with sightseeing function based on dynamic complex MARCOS method[J]. Technological Forecasting and Social Change, 2024, 199, 123041.
16	WANG Y , WANG W Z , WANG Z L , et al. Selection of sustainable food suppliers using the Pythagorean fuzzy CRITIC-MARCOS method[J]. Information Sciences, 2024, 664, 120326.
17	王敏, 邹婕, 王惠琳, 等. 基于改进的AHP-CRITIC-MARCOS配电网设备风险评估方法[J]. 电力系统保护与控制, 2023, 51 (3): 164- 172.
	WANG M , ZOU J , WANG H L , et al. Improved AHP-CRITIC-MARCOS-based risk assessment method for distribution network equipment[J]. Power System Protection and Control, 2023, 51 (3): 164- 172.
18	CELIK E , GUL M . Hazard identification, risk assessment and control for dam construction safety using an integrated BWM and MARCOS approach under interval type-2 fuzzy sets environment[J]. Automation in Construction, 2021, 127, 103699.
19	臧垒, 蒋晓原, 王钰, 等. C4ISR系统作战效能评估指标体系研究[J]. 系统仿真学报, 2008, 20 (3): 574-577, 611.
	ZANG L , JIANG X Y , WANG Y , et al. Research on metrics of measure of force effectiveness for C4ISR System[J]. Journal of System Simulation, 2008, 20 (3): 574-577, 611.
20	WANG Q W , SONG G B , YANG X X . Mixed-attitude three-way decision model for aerial targets: threat assessment based on IF-VIKOR-GRA method[J]. Mathematical Biosciences and Engineering, 2023, 20 (12): 21514- 21536.
21	ZHANG K , KONG W R , LIU P P , et al. Assessment and sequencing of air target threat based on intuitionistic fuzzy entropy and dynamic VIKOR[J]. Journal of Systems Engineering and Electronics, 2018, 29 (2): 305- 310.
22	CHEN X , WANG X , ZHANG H B , et al. Interval TOPSIS with a novel interval number comprehensive weight for threat evaluation on uncertain information[J]. Journal of Intelligent & Fuzzy Systems, 2022, 42 (4): 4241- 4257.
23	YU D , WANG H J , LI B Y , et al. PROMETHEE-based multi-AUV threat assessment method using combinational weights[J]. Journal of Marine Science and Engineering, 2023, 11 (7): 1422.
24	YANG Y , CHEN G W , WANG D . A security risk assessment method based on improved FTA-IAHP for train position system[J]. Electronics, 2022, 11 (18): 2863.
25	DU X L , WANG Y , CHEN F X . Evaluation of coal-resource- based cities transformation based on CRITIC-TOPSIS model[J]. Sustainable Cities and Society, 2024, 103, 105271.
26	ZHANG B , LIU S Y , DONG H Y , et al. Data-driven abnormity assessment for low-voltage power consumption and supplies based on CRITIC and improved radar chart algorithms[J]. IEEE Access, 2020, 8, 27139- 27151.
27	王俊敏, 李涛, 贾子英. 信息化条件下空战威胁评估指标体系[J]. 指挥控制与仿真, 2014, 36 (5): 17- 22.
	WANG J M , LI T , JIA Z Y . Threat assessment indexes of air combat target in conditions of informationalization[J]. Command Control & Simulation, 2014, 36 (5): 17- 22.
28	WEI G W . GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting[J]. Knowledge-Based Systems, 2010, 23 (3): 243- 247.
29	LAI Y J , LIU T Y , HWANG C L . TOPSIS for MODM[J]. European Journal of Operational Research, 1994, 76 (3): 486- 500.
30	GAO Y , LYU N . A new multi-target three-way threat assessment method with heterogeneous information and attribute rele-vance[J]. Mathematics, 2024, 12 (5): 691.

威胁等级	T₂₂
V₁	0.15
V₂	0.46
V₃	0.51
V₄	0.54
V₅	0.85

威胁等级	T₃₁
Beam₁	0.14
Beam₂	0.50
Beam₃	0.86

威胁等级	T₃₂
低DR低CF(C₁)	0.055
高DR低CF(C₂)	0.110
低DR中CF(C₃)	0.180
高DR中CF(C₄)	0.430
低DR高CF(C₅)	0.250
高DR高CF(C₆)	0.695

目标编号	平台固有能力	武器固有能力	距离/km	速度	波束行为	参数行为	信息完整性	信息准确性	信息协同性
P₁	8.6	2.8	185	V₂	Beam₃	C₅	0.77	0.93	0.31
P₂	10.5	4.8	102	V₄	Beam₁	C₁	0.86	0.90	0.15
P₃	15.8	4.8	110	V₅	Beam₃	C₅	1.43	1.39	0.23
P₄	10.5	2.2	95	V₄	Beam₂	C₄	1.58	1.78	0.23
P₅	11.0	5.6	90	V₃	Beam₁	C₂	0.90	0.85	0
P₆	11.0	6.0	140	V₃	Beam₂	C₃	0.82	0.80	0.08

目标	T₁₁	T₁₂	T₂₁	T₂₂	T₃₁	T₃₂	T₄₁	T₄₂	T₄₃
AI	1	1	1	0.85	0.86	0.43	1	1	1
P₁	0	0.16	0.24	0.46	0.86	0.25	0	0.13	1
P₂	0.27	0.68	0.10	0.54	0.14	0.06	0.11	0.10	0.48
P₃	1	0.68	0	0.85	0.86	0.25	0.81	0.60	0.74
P₄	0.27	0	0.56	0.54	0.5	0.43	1	1	0.74
P₅	0.33	0.79	0.61	0.51	0.14	0.11	0.16	0.05	0
P₆	0.33	1	1	0.51	0.5	0.18	0.06	0	0.26
AAI	0	0	0	0.46	0.14	0.06	0	0	0

Multi-type target threat evaluation based on IAHP-CRITIC-MARCOS

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 13

References 30

Related Articles 1

Recommended Articles

Metrics

Comments

目标编号	正理想解效用度	负理想解效用度	效用函数值
1	0.436 4	4.726 8	0.433 0
2	0.303 4	3.286 9	0.301 1
3	0.743 9	8.058 1	0.738 1
4	0.622 7	6.744 9	0.617 8
5	0.336 8	3.648 3	0.334 2
6	0.480 2	5.201 6	0.476 5

目标	T₁₁	T₁₂	T₂₁	T₂₂	T₃₁	T₃₂	T₄₁	T₄₂	T₄₃
AI	0.109 1	0.124 6	0.090 6	0.098 8	0.158 9	0.093 1	0.127 7	0.079 2	0.117 9
P₁	0	0.019 9	0.021 8	0.053 5	0.158 9	0.054 2	0	0.010 3	0.117 9
P₂	0.029 5	0.084 7	0.009 1	0.062 8	0.025 9	0.013 0	0.014 1	0.007 9	0.056 6
P₃	0.109 1	0.084 7	0	0.098 8	0.158 9	0.054 2	0.103 5	0.047 5	0.087 2
P₄	0.029 5	0	0.050 8	0.062 8	0.092 4	0.093 1	0.127 7	0.079 2	0.087 2
P₅	0.036 0	0.112 1	0.055 3	0.059 3	0.025 9	0.023 8	0.020 4	0.004 0	0
P₆	0.036 0	0.124 6	0.090 6	0.059 3	0.092 4	0.039 0	0.0 77	0	0.030 7
AAI	0	0	0	0.053 5	0.025 9	0.013 0	0	0	0