Research on contribution rate evaluation theory of army air defense brigade equipment system

被引：0
|
作者：
Du M. [1 ]
Cheng Z. [1 ]
Dong E. [1 ]
机构：
[1] Department of Equipment Command and Management, Shijiazhuang Campus of Army Engineering University, Shijiazhuang
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 01期
关键词：
Army air defense brigade; Contribution rate evaluation; Equipment life cycle; Equipment system;
D O I：
10.12305/j.issn.1001-506X.2022.01.26
中图分类号：
学科分类号：
摘要：
The theory of equipment system contribution rate evaluation of army air defense brigade is of great significance to the construction of equipment system evolution series engineering of army air defense brigade. Based on the purpose of the equipment system contribution rate evaluation of the army air defense brigade, this paper systematically analyzes the concept and connotation, evaluation methods and evaluation cases of the equipment system contribution rate evaluation of the army air defense brigade, which lays a theoretical foundation for the construction of the equipment system contribution rate evaluation model of the army air defense brigade and the application of the evaluation methods. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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收藏
页码：209 / 217
页数：8
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共 34 条
  • [1] CEVIK P, KOCAMAN I, AKGUL A S, Et al., The small and silent force multiplier: a swarm UAV-electronic attack, Journal of Intelligent & Robotic Systems, 70, 4, pp. 595-608, (2013)
  • [2] CHANG L L, ZHOU Z J, YUAN Y, Et al., Belief rule based expert system for classification problems with new rule activation and weight calculation procedures, Information Sciences, 336, pp. 75-91, (2016)
  • [3] DELLER S, RABADI G, TOLK A, Et al., Organizing for improved effectiveness in networked operations, Military Ope-rations Research, 17, 1, pp. 5-16, (2012)
  • [4] JIANG J, LI X, ZHOU Z J, Et al., Weapon system capability assessment under uncertainty based on the evidential reasoning approach, Expert Systems with Applications, 38, 11, pp. 13773-13784, (2011)
  • [5] BEHNIDO Y., Complex system governance: moving diverse theory to practice, International Journal of System of Systems Engineering, 7, 1, pp. 22-42, (2016)
  • [6] GAO Y, LIU H, ZHOU Y M., An evaluation method of combat aircraft contribution effectiveness based on mission success space design, International Journal of Aeronautical and Space Sciences, 20, 1, pp. 273-286, (2019)
  • [7] YUN Q J, SONG B F, PEI Y., Modeling the impact of high energy laser weapon on the mission effectiveness of unmanned combat aerial vehicles, IEEE Access, 8, pp. 332246-332257, (2020)
  • [8] KAZAKOV R, HOWICK S, MORTON A., Managing complex adaptive systems: a resource/agent qualitative modelling perspective, European Journal of Operational Research, 290, 1, pp. 386-400, (2021)
  • [9] JEFFREY N R., A symbiotic relationship, Part I: the OODA loop, intuition, and strategic thought, Marine Corps Gazette, 101, 7, pp. 39-42, (2017)
  • [10] JAMES D., WESTABY A, DAM K., Network goal analysis of social and organizational systems: testing dynamic network theory in complex social networks, The Journal of Applied Behavioral Science, 56, 1, pp. 3-17, (2020)
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