基于置信规则推理的武器装备体系贡献度评估

doi:10.3969/j.issn.1001-506X.2020.07.13

Abstract

Abstract:

The complex relationship between tasks and capabilities and the validity of data processing are the main difficulties in the evaluation process of contribution rate to system-of-systems. Aiming at these problems, a weapon equipment contribution rate evaluation method based on the belief rule-based system is proposed. Firstly, the weapon equipment contribution rate to the system-of-systems evaluation framework is constructed. By decomposing the mission and analyzing the combat system-of-systems (CSoS), the "task-capability" incidence matrix is built. On this basis, the hierarchical evaluation criteria system of the equipment contribution rate is established. Afterwards, the belief rule base is created according to the evaluation criteria system and the belief rule-based system is adopted to infer the task effectiveness of the CSoS. Finally, the weapon equipment contribution rate to system-of-systems is evaluated by the evaluation model. The study result of air interdiction CSoS shows that this method can reflect the emergence of the CSoS effectively and evaluate the weapon equipment contribution rate to system-of-systems objectively. This approach can provide the theoretical support for the updating of equipment and the CSoS development.

Key words: weapon equipment system-of-systems, contribution rate to system-of-systems, "task-capability" incidence matrix, belief rule-based system

CLC Number:

TJ430.6

Junwen MA, An ZHANG, Fei GAO, Wenhao BI. Evaluation of weapon equipment contribution rate to system-of- systems based on belief rule-based system[J]. Systems Engineering and Electronics, 2020, 42(7): 1519-1526.

Figures/Tables 12

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References 23

1	杨克巍, 杨志伟, 谭跃进, 等. 面向体系贡献率的装备体系评估方法研究综述[J]. 系统工程与电子技术, 2019, 41 (2): 311- 321.
	YANG K W , YANG Z W , TAN Y J , et al. Review of the evaluation method of equipment system of systems facing the contribution rate[J]. Systems Engineering and Electronics, 2019, 41 (2): 311- 321.
2	常雷雷, 张小可, 李孟军. 基于灰靶理论的武器装备体系技术贡献度评估[J]. 兵工自动化, 2010, 29 (10): 13- 15. doi: 10.3969/j.issn.1006-1576.2010.10.004
	CHANG L L , ZHANG X K , LI M J . Weapon system of system technology contribution evaluation based on grey target theory[J]. Ordnance Industry Automation, 2010, 29 (10): 13- 15. doi: 10.3969/j.issn.1006-1576.2010.10.004
3	罗小明, 朱延雷, 何榕. 基于SEM的武器装备作战体系贡献度评估方法[J]. 装备学院学报, 2015, 5, 1- 6.
	LUO X M , ZHU Y L , HE R . SEM-based evaluation method of contribution to system warfighting for weapons and equipment[J]. Journal of Equipment Academy, 2015, 5, 1- 6.
4	李际超, 杨克巍, 张小可, 等. 基于武器装备体系作战网络模型的装备贡献度评估[J]. 复杂系统与复杂性科学, 2016, 13 (3): 1- 7.
	LI J C , YANG K W , ZHANG X K , et al. Equipment contribution degree evaluation method based on combat network of weapon system-of-systems[J]. Complex Systems and Complexity Science, 2016, 13 (3): 1- 7.
5	LI J C , ZHAO D L , JIANG J , et al. Capability oriented equipment contribution analysis in temporal combat networks[J]. IEEE Trans.on Systems Man and Cybernetics: Systems, 2018, 12, 1- 9.
6	金丛镇,黄炎焱,周少平,等.基于效用函数的装备技术对作战系统贡献度评估方法[C]//第四届中国指挥控制大会, 2016: 424-429.
	JIN C Z, HUANG Y Y, ZHOU S P, et al. Evaluation of the contribution rate of equipment technology for combat system based on the utility function[C]//Proc.of the 4th China Conference on Command and Control, 2016: 424-429.
7	陈文英, 张兵志, 史力晨, 等. 新型智能装甲作战系统体系贡献率评估研究[J]. 兵工学报, 2018, 39 (9): 180- 188.
	CHEN W Y , ZHANG B Z , SHI L C , et al. Research on evaluation of contribution rate of a new intelligent armoured combat system to army weapon system-of-systems[J]. Acta Armamentarii, 2018, 39 (9): 180- 188.
8	罗承昆, 陈云翔, 张洋铭, 等. 基于混合参数证据网络的装备体系贡献率评估[J]. 兵工学报, 2018, 39 (12): 2489- 2496.
	LUO C K , CHEN Y X , ZHANG Y M , et al. Evaluation of equipment contribution rate to system-of-systems based on hybrid parameter evidential network[J]. Acta Armamentarii, 2018, 39 (12): 2489- 2496.
9	刘鹏, 赵丹玲, 谭跃进, 等. 面向多任务的武器装备体系贡献度评估方法[J]. 系统工程与电子技术, 2019, 41 (8): 1763- 1770.
	LIU P , ZHAO D L , TAN Y J , et al. Multi-task oriented contribution evaluation of weapon equipment system of systems[J]. Systems Engineering and Electronics, 2019, 41 (8): 1763- 1770.
10	李怡勇, 李智, 管清波, 等. 武器装备体系贡献度评估刍议与示例[J]. 装备学院学报, 2015, 4, 5- 10.
	LI Y Y , LI Z , GUAN Q B , et al. Discussion and demonstration on contribution evaluation of weapon equipment system[J]. Journal of Equipment Academy, 2015, 4, 5- 10.
11	王飞, 司光亚. 武器装备体系能力贡献度的解析与度量方法[J]. 军事运筹与系统工程, 2016, 30 (3): 10- 15. doi: 10.3969/j.issn.1672-8211.2016.03.002
	WANG F , SI G Y . Analysis and measurement of capability contribution of weapon equipment system of systems[J]. Military Operations Research and Systems Engineering, 2016, 30 (3): 10- 15. doi: 10.3969/j.issn.1672-8211.2016.03.002
12	Department of defense architecture working group. DoD Architecture Framework 2.0[R]. Washington: Department of Defense, 2009.
13	FRANCIS M M, COURETAS J P. ADROUNIE V. Enterprise architectures as a catalyst for system-of-systems development: a global ISR perspective[C]//Proc.of the AIAA International Air and Space Symposium and Exposition: the next 100 Years, 2003: 2003-2740.
14	AMISSAH M, HANDLEY H A H. A process for DoDAF based systems architecting[C]//Proc.of the 10th Annual International Systems Conference, 2016.
15	YANG J B , LIU J , WANG J , et al. Belief rule-base inference methodology using the evidential reasoning approach-RIMER[J]. IEEE Trans.on Systems Man and Cybernetics-Part A Systems and Humans, 2006, 36 (2): 266- 285. doi: 10.1109/TSMCA.2005.851270
16	CHANG L , SUN J , JIANG J , et al. Parameter learning for the belief rule base system in the residual life probability prediction of metalized film capacitor[J]. Knowledge Based Systems, 2015, 73, 69- 80. doi: 10.1016/j.knosys.2014.09.006
17	CHANG L , ZHOU Z J , YOU Y , et al. Belief rule based expert system for classification problems with new rule activation and weight calculation procedures[J]. Information Sciences, 2016, 336 (C): 75- 91.
18	WANG Y M , YANG J B , XU D L . Environmental impact assessment using the evidential reasoning approach[J]. European Journal of Operational Research, 2006, 174 (3): 1885- 1913. doi: 10.1016/j.ejor.2004.09.059
19	WANG Y M , YANG L H , FU Y G , et al. Dynamic rule adjustment approach for optimizing belief rule-base expert system[J]. Know-ledge-Based Systems, 2016, 96 (C): 40- 60.
20	U.S. Air Force . Air force doctrine document 2.0: global integrated intelligence, surveillance & reconnaissance operations[M]. 2012.
21	周海瑞, 张臻, 刘畅. 美国空军情报监视侦察体系[J]. 指挥信息系统与技术, 2017, 8 (5): 56- 61.
	ZHOU H R , ZHANG Z , LIU C . United States air force intelligence surveillance and reconnaissance system[J]. Command Information System and Technology, 2017, 8 (5): 56- 61.
22	吴永亮. 美国海军新型情报、监视与侦察飞机发展综述[J]. 飞航导弹, 2012, (5): 70- 76.
	WU Y L . A review of the development of the U.S. Navy's new intelligence, surveillance and reconnaissance aircraft[J]. Aerodynamic Missile Journal, 2012, (5): 70- 76.
23	CIRIA F. New solutions for naval ISR at airbus military[C]//Proc.of the AIAA Centennial of Naval Aviation Forum "100 Years of Achievement and Progress", 2000.

体系结构	任务1	…	任务m	体系作战效能
基准体系	z₁₁	…	z_1m	E₁
评估体系	z₂₁	…	z_2m	E₂

任务	能力
任务	C₁	C₂	C₃	C₄	C₅	C₆	C₇
M₁	○	○	○	□	○	□	□
M₂	○	□	○	○	□	□	□
M₃	□	□	□	○	○	○	○
M₄	□	○	□	□	○	○	○

任务	能力
任务	C₁	C₂	C₃	C₄	C₅	C₆	C₇	C₈	C₉
M₁	○	○	○	□	□	○	□	□	□
M₂	□	□	○	□	□	□	□	□	○
M₃	□	□	□	○	○	○	□	□	○
M₄	□	○	□	□	○	□	○	○	□

参数指标	战斗机	攻击无人机	电子干扰机	ISR飞机
侦察探测距离/km	200	-	-	280
总搜索方位角/(°)	140	-	-	360
目标分辨率/m	3	2	3	1.8
信息传输实时性	较高	中	中	高
信息传输稳定性	高	中	较高	高
最大飞行马赫数/Ma	2.4	0.4	1.3	0.6
实用升限/m	18 000	12 000	15 000	16 000
有源干扰性能	-	-	高	-
无源干扰性能	-	-	高	-
雷达散射截面积/m²	< 2	6~10	3~7	5~8
发动机红外辐射强度/(W/sr)	300	1100	1600	800
精确打击能力	高	较高	-	-
单发杀伤概率	0.95	0.9	-	-
导弹挂载数目/枚	12	8	-	-
目标威胁评估水平	高	中	较高	较高

规则序号	规则权重	能力C₁	能力C₂	能力C₃	能力C₆	任务效能
1	1	0.8	0.9	0.8	0.9	{(D₁, 0), (D₂, 0), (D₃, 0.45), (D₄, 0.55), (D₅, 0)}
2	0.9	0.8	0.6	0.7	0.7	{(D₁, 0), (D₂, 0), (D₃, 0), (D₄, 0.8), (D₅, 0.2)}
3	1	0.9	0.9	1	0.9	{(D₁, 0), (D₂, 0), (D₃, 0), (D₄, 0.375), (D₅, 0.625)}
⋮	⋮	⋮	⋮	⋮	⋮	⋮
K	θ_k	C₁^k	C₂^k	C₃^k	C₄^k	{(D₁, β_1k), (D₂, β_2k), (D₃, β_3k), (D₄, β_4k), (D₅, β_5k)}

Evaluation of weapon equipment contribution rate to system-of- systems based on belief rule-based system

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References 23

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体系作战任务	ISR飞机加入前	ISR飞机加入后
侦察探测任务	0.847	0.919
指挥控制任务	0.850	0.917
机动突防任务	0.882	0.890
协同攻击任务	0.873	0.908

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[2]	XIONG Jian, CHEN Ying-wu, WANG Dong. Executable model of weapon equipment system-of-systems architecture [J]. Journal of Systems Engineering and Electronics, 2010, 32(5): 966-970.