Support Capability Evaluation Method for Early-warning Counter-attack System of Systems Based on Evidential Reasoning

doi:10.3969/j.issn.1000-1093.2019.09.018

Abstract

Abstract: For the evaluation of support capability of early-warning counter-attack combat system, the DoDAF method is used to establish an evaluation index system, and a support capability evaluation model is presented based on the belief rule base. The proposed model was used to evaluate the support capability of a unit, and the evaluated results were analyzed. The research results show that the support capability evaluation method based on the belief rule base can be used to effectively deal with the information uncertainty problem faced by the system support capability evaluation, and the improvement in different index levels has different effects on the degree of improvement in the system support capability. The weaknesses of the early-warning counter-attack system support capability can be accurately identified through the evaluation and analysis of the early-warning and counter-attack system support capability. Key

Key words: operationalsupport, early-warningcounter-attacksystemofsystems, evidentialreasoning, supportcapability, capabilityevaluation

CLC Number:

E145.6

SUN Zhipeng, CHEN Guiming, GAO Weigang. Support Capability Evaluation Method for Early-warning Counter-attack System of Systems Based on Evidential Reasoning[J]. Acta Armamentarii, 2019, 40(9): 1928-1934.

References

［1］杨诚，项勇，张立刚.基于DoDAF和Petri网的预警作战体系研究[J].计算机工程与应用，2015，51(5)：44-49.
YANG C, XIANG Y, ZHANG L G. Research on system of missile early-warning combat based on DoDAF and Petri net[J]. Compu-ter Engineering and Applications,2015,51(5):44-49.(in Chinese)
[2] 邵正途，朱和平.基于SEA的弹道导弹预警系统作战效能分析[J].战术导弹技术，2011(3):6-10，27.
SHAO Z T, ZHU H P. Operational effectiveness analysis based on SEA for BM early warning system[J]. Tactical Missile Technology,2011(3):6-10，27.(in Chinese)

[3] 徐建国，李孟军，姜江，等.预警作战体系超网络建模及结构分析[J].系统工程与电子技术,2018, 40(5):1043-1049.
XU J G, LI M J, JIANG J, et al. Super network modeling and structure analyzing for warning combat system[J]. Systems Engineering and Electronics, 2018,40(5): 1043-1049. (in Chinese)
[4] 苏辛.面向任务的网络化作战体系的建模[D].成都：电子科技大学，2017.
SU X. Modeling of task-oriented networked combat system[D].Chengdu: University of Electronic Science and Technology, 2017.(in Chinese)

[5] 任力群,陈振生,唐正国,等.地地导弹作战保障系统效能评估[J].弹箭与制导学报,2006,36(4):333-335.
REN L Q, CHEN Z S, TANG Z G, et al. Effectiveness evaluation of surface-to-surface missile battle safeguard system [J].Journal of Projectiles,Rockets, Missiles and Guidance,2006,36(4):333-335.(in Chinese)
[6] 李萌. 基于HLA的战役装备保障能力评估研究[D].长沙：国防科学技术大学,2011.
LI M. Research on the evaluation of combat equipment support capability based on HLA [D]. Changsha: National University of Defense Technology, 2011.(in Chinese)

[7] 周志杰,刘涛源,李方志,等.一种基于证据推理的装备保障资源评估方法[J].控制与决策,2018,33(6):1048-1054.
ZHOU Z J, LIU T Y, LI F Z, et al. An evaluation method of equipment support resources based on evidential reasoning [J].Control and Decision, 2018,33(6):1048-1054.(in Chinese)

[8] 李建印.基于BP神经网络的装备保障能力评估研究[J].管理评论,2014,26(12):182-188.
LI J Y. Research of equipment support capability evaluation based on BP neural network[J]. Management Review,2014,26(12):182-188.(in Chinese)

[9] 滑楠，赵延龙，于振华. 基于改进PSO算法的机动通信保障任务分配方法[J].控制与决策,2018,33(9):1575-1583.
HUA N, ZHAO Y L, YU Z H. Method of task allocation of tactical communication support based on improved particle swarm optimization algorithm [J]. Control and Decision,2018,33(9):1575- 1583.(in Chinese)
[10] DoD Architecture Framework Group. DoD architecture framework version 2.0[R]. Washington, DC,US：Department of Defense，2009.
[11] 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.
[12] YANG J B, LIU J, WANG J, et al. Belief rule-based inference methodology using the evidential reasoning approach-RIMER[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 2006, 36(2):266-285.
[13] 王君相.基于DoDAF的战略预警系统建模与评估技术研究[D].西安：西北工业大学，2017.
WANG J X. Research on modeling and evaluation of strategic early warning system based on DoDAF[D]. Xi'an: Northwestern Polytechnical University,2017. (in Chinese)

[14] 宋琦.基于DoDAF的装备体系结构建模方法[J].国防科技，2013，34(6)：56-61.
SONG Q. A study on DoDAF-based equipment system modeling methods[J]. National Defense Science and Technology,2013,34(6): 56-61.(in Chinese)

[15] 王立民，付勇，李强，等.基于DoDAF的武器装备体系需求分析方法[J].计算机工程与设计，2009,30(22):5266-5268, 5272.
WANG L M, FU Y, LI Q, et al. Requirement analysis method of weapons SOS based on DoDAF[J]. Computer Engineering and Design,2009,30(22):5266-5268, 5272. (in Chinese)

[16] 梁杰，谭跃进，占国熊，等.基于DoDAF人因视图的武器装备体系结构建模方法[J].火力指挥与控制，2017,42(2):1-5,10.
LIANG J, TAN Y J, ZHAN G X, et al. Modeling method of arms equipment architecture based on DoDAF human view[J]. Fire Control and Command Control, 2017,42(2):1-5,10.(in Chinese)
[17] 伍文峰，胡晓峰.基于大数据的网络化作战体系能力评估框架[J].军事运筹与系统工程，2016，30(2)：26-32.
WU W F, HU X F. Capability evaluation framework of networked combat system based on big data[J]. Military Operations Research and Systems Engineering, 2016, 30(2)：26-32.(in Chinese)
[18] 庞煜. 基于可能性理论和格论的系统可靠性分析[D].成都：电子科技大学，2012.
PANG Y. System reliability analysis based on possibility theory and lattice theory[D]. Chengdu: University of Electronics Science and Technology,2012.(in Chinese)

[19] 韩润繁，陈桂明，孟岩磊，等.基于置信规则库的海基系统性能退化机理分析与预测[J].控制与决策，2017,33(2):125-134.
HAN R F, CHEN G M, MENG Y L, et al. Degradation mechanism analysis and prediction of maritime based system perfor-mance using belief rule base[J]. Control and Decision, 2017,33(2): 125-134. (in Chinese)
[20] YANG J B, XU D L .On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty[J].IEEE Transactions on Systems, Man and Cybemetics，2002, 32(3):289-304.
[21] CHEN S M, HSIAO W H. Bidirectional approximate reasoning for rule-based systems using interval-valued fuzzy sets[J]. Fuzzy Sets and Systems, 2000, 2:185-203.
[22] VIAENE S, WETS G, VANTHIENEN J. A synthesis of fuzzy rule-based system verification[J]. IEEE International Conference on Fuzzy System, 1998, 2: 985-990.
[23] BEYNON M. DSAHP method: a mathematical analysis, including an understanding of uncertainty [J]. Systems Engineering, 2002, 140(13):148-164.
[24] YANG J B. Rule and utility based evidential reasoning approach for multi-attribute decision analysis under uncertainties[J]. European Journal of Operational Research, 2001, 131(1):31-61.
[25] 胡晓峰，杨靖宇，吴琳，等. 武器装备体系能力需求论证及探索性仿真分析实验[J].系统仿真学报, 2008, 20(12):3065- 3068,3073.
HU X F, YANG J Y, WU L, et al. Weapon system of systems (SoS) capabilities requirement development and exploratory si-mulation analysis experimentation[J].Journal of System Simulation,2008,20(12): 3065-3068,3073. (in Chinese)

第40卷
第9期2019 年9月兵工学报ACTA
ARMAMENTARIIVol.40No.9Sep.2019

[1]	YU Jintao, XIAO Bing, CUI Yuzhu, QI Dong, YAN Tao. Mission Support Capability Assessment of Early-warning Combat System-of-systems Based on Temporal Network Simulation andContribution Rate [J]. Acta Armamentarii, 2024, 45(4): 1237-1251.
[2]	CHEN Wen-ying， ZHANG Bing-zhi， SHI Li-chen， ZHAO Qing-song. 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): 1841-1849.