
Journal of Systems Engineering and Electronics ›› 2026, Vol. 37 ›› Issue (3): 974-992.doi: 10.23919/JSEE.2026.000117
• SYSTEMS ENGINEERING • Previous Articles Next Articles
Received:2024-05-31
Accepted:2026-05-29
Online:2026-06-18
Published:2026-06-29
Contact:
Yaping WANG
E-mail:hcch122@163.com;ypw105727@163.com
Supported by:Cancan HU, Yaping WANG. An evaluation framework for equipment contribution rate to system of systems based on operation loop and improved Shapley value[J]. Journal of Systems Engineering and Electronics, 2026, 37(3): 974-992.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Table 1
Capability indicator decomposition"
| Entity | Capability symbol | Indicator | Indicator symbol | Unit | Type |
| S | Maneuvering speed | Benefit | |||
| Maximum detecting distance | Benefit | ||||
| Detecting accuracy | Benefit | ||||
| Identifying probability | Benefit | ||||
| Tracking probability | Benefit | ||||
| D | Decision making time | Cost | |||
| Decision- making accuracy | Benefit | ||||
| Assisted decision making | Benefit | ||||
| I | Maneuvering speed | Benefit | |||
| Damaging radius | Benefit | ||||
| Striking accuracy | Benefit | ||||
| Effective range | Benefit | ||||
| T | Maneuvering speed | Benefit | |||
| Warning time | Benefit | ||||
| Destructive capability | Benefit | ||||
| Stealth capability | Benefit | ||||
| Communication | Communication coverage | Benefit | |||
| Communication rate | Benefit | ||||
| Communication capacity | Benefit | ||||
| Communication delay | Cost | ||||
| Communication quality | Cost |
Table 2
Six categories of edges"
| Edge type | Meaning |
| Intelligence acquisition | |
| Intelligence sharing | |
| Information uploading | |
| Collaboration between decision | |
| Fire control | |
| Destroy enemy targets |
Table 3
Correspondence between functional nodes and equipment"
| Functional nodes | Equipment | Functional nodes | Equipment | Functional nodes | Equipment | ||
Table 4
Combat effectiveness of the operation loop"
| Number | Operation loop | Combat effectiveness |
| 1 | 0.265 | |
| 2 | 0.271 | |
| 3 | 0.318 | |
| 4 | 0.288 | |
| 5 | 0.336 | |
| 6 | 0.292 | |
| | | |
| 96 | 0.294 |
Table 6
CRSoS under phase 2 of the operational task"
| Node number | RCR | SCR | ISCR | Change rate/% |
| 2.9 | ||||
| −2.6 | ||||
| −2.5 | ||||
| −6.2 | ||||
| −2.6 | ||||
| −2.2 | ||||
| −2.9 | ||||
| −2.6 | ||||
| 7.2 | ||||
| 1.7 | ||||
| 8.1 | ||||
| 8.1 | ||||
| 6.9 |
Table 7
CRSoS under phase 3 of the operational task"
| Node number | RCR | SCR | ISCR | Change rate/% | Node number | RCR | SCR | ISCR | Change rate/% | |
| 3.7 | 5.7 | |||||||||
| −3.8 | 1.5 | |||||||||
| −2.1 | 4.3 | |||||||||
| −5.4 | 5.1 | |||||||||
| 9.7 | 5.8 | |||||||||
| −2.5 | 5.8 | |||||||||
| −10.8 | 5.8 | |||||||||
| −1.8 | 5.8 | |||||||||
| −1.9 | −8.9 | |||||||||
| −0.6 | −8.9 | |||||||||
| 5.7 | −10.6 | |||||||||
| 5.7 | −10.6 | |||||||||
| 5.7 | 11.6 | |||||||||
| 5.7 |
| 1 |
LI J C, ZHAO D L, JIANG J, et al Capability oriented equipment contribution analysis in temporal combat networks. IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2021, 51 (2): 696- 704.
doi: 10.1109/TSMC.2018.2882782 |
| 2 | LI J C, GE B F, JIANG J, et al High-end weapon equipment portfolio selection based on a heterogeneous network model. Journal of Global Optimization, 2020, 78 (4): 743- 761. |
| 3 |
, et al Evaluation method and optimization strategies of resilience for air & space defense system of systems based on kill network theory and improved self-information quantity. Defence Technology, 2023, 21, 219- 239.
doi: 10.1016/j.dt.2023.01.005 |
| 4 | LI X B, WANG W P, LIN M, et al The research framework, progress, and key directions of system-of-systems contribution ratio evaluation. Systems Engineering-Theory & Practice, 2019, 39 (6): 1623- 1634. |
| 5 | ZHOU C, SONG B F, SHANG B L, et al System of systems contribution rate evaluation based on operational network reliability. Systems Engineering and Electronics, 2021, 43 (7): 1875- 1883. |
| 6 |
CHEN L, KOU Y X, LI Z, et al Empirical research on complex networks modeling of combat SoS based on data from real war-game, Part I: statistical characteristics. Physica A: Statistical Mechanics and its Applications, 2018, 490, 754- 773.
doi: 10.1016/j.physa.2017.08.102 |
| 7 |
, et al Agent-based effectiveness evaluation method and impact analysis of airborne laser weapon system in cooperation combat. Chinese Journal of Aeronautics, 2023, 36 (4): 442- 454.
doi: 10.1016/j.cja.2022.11.006 |
| 8 |
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, 2019, 20, 273- 286.
doi: 10.1007/s42405-018-0111-6 |
| 9 |
XIE X Y, WEN S H, LI M L, et al Resilience evaluation and optimization for an air-ground cooperative network. Electronic Research Archive, 2024, 32 (5): 3316- 3333.
doi: 10.3934/era.2024153 |
| 10 |
CHEN K B, LU Y J, GUO L, et al A genetic algorithm-based methodology for analyzing the characteristics of high-operational-capability combat networks. IEEE Access, 2022, 10, 14717- 14730.
doi: 10.1109/ACCESS.2022.3147517 |
| 11 | WANG Y, TAO J Y, ZHANG X K, et al Mission-oriented capability evaluation for combat network based on operation loops. Defence Technology, 2024, 42, 156- 175. |
| 12 |
GAO Y, CHENG J Y, TIAN Y L, et al Machine learning-based evaluation of the contribution effectiveness in SoS missions. IEEE Systems Journal, 2023, 17 (4): 5877- 5888.
doi: 10.1109/jsyst.2023.3272506 |
| 13 | ZHANG J G, FANG Z G, DONG W J A novel equipment contribution evaluation framework for ESoS from a comprehensive perspective. Expert Systems with Applications, 2025, 265, 126042. |
| 14 |
WEN X X, TU C L, WU M G Node importance evaluation in aviation network based on “No Return” node deletion method. Physica A: Statistical Mechanics and its Applications, 2018, 503, 546- 559.
doi: 10.1016/j.physa.2018.02.109 |
| 15 |
XU T X, CHEN Y Q, LU C, et al Importance measure of equipment task based on operational dependency of SoS. IEEE Access, 2021, 9, 15452- 15466.
doi: 10.1109/ACCESS.2021.3052980 |
| 16 | TAN Y J, ZHANG X K, YANG K W Research on networked description and modeling methods of armament system-of-systems. Journal of Systems & Management, 2012, 21 (6): 781- 786. |
| 17 |
PAN X, WANG H X, YANG Y J, et al Resilience based importance measure analysis for SoS. Journal of Systems Engineering and Electronics, 2019, 30 (5): 920- 930.
doi: 10.21629/jsee.2019.05.10 |
| 18 |
YANG K W, XIA B Y, CHEN G, et al Multi-objective optimization of operation loop recommendation for kill web. Journal of Systems Engineering and Electronics, 2022, 33 (4): 969- 985.
doi: 10.23919/JSEE.2022.000094 |
| 19 | LUO C K, CHEN Y X, WANG L L, et al Effectiveness evaluation method of system-of-systems based on operation loop and improved information entropy. Systems Engineering and Electronics, 2019, 41 (1): 73- 80. |
| 20 |
SHAO R R, FANG Z G, GAO S, et al PS-G-GERT effectiveness evaluation model of link-based GEO satellite communication constellation under poor information background. China Communications, 2022, 19 (12): 176- 196.
doi: 10.23919/jcc.2022.00.001 |
| 21 | WANG Z, LIU S F, FANG Z G Research on SoS-GERT network model for equipment system of systems contribution evaluation based on joint operation. IEEE Systems Journal, 2020, 14 (3): 4188- 4196. |
| 22 |
PENG L, LI J C, XIA B Y, et al Weapons equipment portfolios selection based on equipment system contribution rates. Journal of Systems Engineering and Electronics, 2021, 32 (3): 584- 595.
doi: 10.23919/jsee.2021.000050 |
| 23 |
FAIGLE U, KERN W The Shapley value for cooperative games under precedence constraints. International Journal of Game Theory, 1992, 21 (3): 249- 266.
doi: 10.1007/BF01258278 |
| 24 |
AN Q X, WEN Y, DING T, et al Resource sharing and payoff allocation in a three-phase system: integrating network DEA with the Shapley value method. Omega, 2019, 85, 16- 25.
doi: 10.1016/j.omega.2018.05.008 |
| 25 |
FANG F, YU S Y, LIU M X An improved Shapley value-based profit allocation method for CHP-VPP. Energy, 2020, 213, 118805.
doi: 10.1016/j.energy.2020.118805 |
| 26 | ZHAO Y L, HAN F W, ZENG J F, et al Coordinated optimization of integrated rural multiple regional energy systems considering electricity to ammonia and improved Shapley value revenue allocation. Energy, 2024, 313, 133855. |
| 27 | SHARMA S, ABHYANKAR A R Loss allocation for weakly meshed distribution system using analytical formulation of Shapley value. IEEE Trans. on Power Systems, 2016, 32 (2): 1369- 1377. |
| 28 |
LIU X X, WANG X S, GUO H Y, et al Benefit allocation in shared water-saving management contract projects based on modified expected shapley value. Water Resour Managze, 2021, 35 (1): 39- 62.
doi: 10.1007/s11269-020-02705-2 |
| 29 |
LOUHICHI M, NESMAOUI R, MBAREK M, et al Shapley values for explaining the black box nature of machine learning model clustering. Procedia Computer Science, 2023, 220, 806- 811.
doi: 10.1016/j.procs.2023.03.107 |
| 30 |
CHU C C F, CHAN D P K Feature selection using approximated high-order interaction components of the Shapley value for boosted tree classifier. IEEE Access, 2020, 8, 112742- 112750.
doi: 10.1109/ACCESS.2020.3002665 |
| 31 |
ERRAZURIZ C, GOMEZ-LOBO A A new look at the distributive incidence of Chile’s means-tested water subsidy scheme. Water Policy, 2024, 26 (7): 685- 706.
doi: 10.2166/wp.2024.044 |
| 32 | TAO Y L, WANG L, QI X X, et al Grey Shapley value model for evaluating the contribution rate of weapon and equipment systems. Chinese Journal of Management Science, 2024, 32 (4): 89- 96. |
| 33 |
LI S W, CHU L, WANG J S, et al A road data assets revenue allocation model based on a modified Shapley value approach considering contribution evaluation. Scientific Reports, 2024, 14 (1): 5179.
doi: 10.1038/s41598-024-55819-7 |
| 34 |
LE P H, NGUYEN T D, BEKTAS T Efficient computation of the Shapley value for large-scale linear production games. Annals of Operations Research, 2020, 287 (2): 761- 781.
doi: 10.1007/s10479-018-3047-0 |
| 35 |
WANG L, LI Y H, WANG Y Q, et al Compensation benefits allocation and stability evaluation of cascade hydropower stations based on variation coefficient-Shapley value method. Journal of Hydrology, 2021, 599, 126277.
doi: 10.1016/j.jhydrol.2021.126277 |
| 36 |
WU W L, ZHOU X S, SHEN B Comprehensive evaluation of the intelligence levels for unmanned swarms based on the collective OODA loop and group extension cloud model. Connection Science, 2022, 34 (1): 630- 651.
doi: 10.1080/09540091.2022.2026293 |
| 37 | LI J C, GE B F, ZHAO D L, et al. Meta-path-based weapon-target recommendation in heterogeneous combat network. IEEE Systems Journal, 2019, 13(4): 4433–4441. |
| 38 |
LI J C, ZHAO D L, GE B F, et al Disintegration of operational capability of heterogeneous combat networks under incomplete information. IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2020, 50 (12): 5172- 5179.
doi: 10.1109/TSMC.2018.2867532 |
| 39 | LIANG J L, XIONG W Capabilities assessment of the weaponry system based on combat ring. Journal of Systems Engineering and Electronics, 2019, 41 (8): 1810- 1819. |
| 40 | ZHAO D L. Research on contribution rate of weapon and equipment system evaluation method based on heterogeneous network. Changsha: National University of Defense Technology, 2019. (in Chinese) |
| 41 | YANG J B, XU D L Evidential reasoning rule for evidence combination. Artificial Intelligence, 2013, 205, 1- 29. |
| 42 |
ZHANG P, ZHOU Z J, TANG S W, et al On the evidential reasoning rule for dependent evidence combination. Chinese Journal of Aeronautics, 2023, 36 (5): 306- 327.
doi: 10.1016/j.cja.2023.03.037 |
| 43 |
ZHAO F J, ZHOU Z J, HU C H, el al A new evidential reasoning-based method for online safety assessment of complex systems. IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2018, 48 (6): 954- 966.
doi: 10.1109/TSMC.2016.2630800 |
| 44 | CHEN W Y, LI W M, ZHANG T, et al Calculation of system combat capability using an interactive network approach. Acta Armamentarii, 2023, 44 (10): 2885- 2896. |
| 45 | GAO J W, YANG X F, LIU D Uncertain Shapley value of coalitional game with application to supply chain alliance. Applied Soft Computing, 2017, 56, 551- 556. |
| [1] | Zhiyong ZHAO, Yaozong PAN, Zhongyang MAO, Mengjiao WANG, Jianwu XU. Collaborative channel state perception with classification-based correction for heterogeneous networks [J]. Journal of Systems Engineering and Electronics, 2026, 37(3): 788-799. |
| [2] | Xichao SU, Fang GUO, Jingyu CONG, Yang ZHANG, Zhongzheng ZHAO, Wei HAN, Xinwei WANG. An evaluation method for contribution rate of UAVs to amphibious joint landing system of systems [J]. Journal of Systems Engineering and Electronics, 2025, 36(6): 1613-1628. |
| [3] | Zhiwei CHEN, Ziming ZHOU, Luogeng ZHANG, Chaowei CUI, Jilong ZHONG. Mission reliability modeling and evaluation for reconfigurable unmanned weapon system-of-systems based on effective operation loop [J]. Journal of Systems Engineering and Electronics, 2023, 34(3): 588-597. |
| [4] | Renjie XU, Xin LIU, Donghao CUI, Jian XIE, Lin GONG. An evaluation method of contribution rate based on fuzzy Bayesian networks for equipment system-of-systems architecture [J]. Journal of Systems Engineering and Electronics, 2023, 34(3): 574-587. |
| [5] | Kewei YANG, Boyuan XIA, Gang CHEN, Zhiwei YANG, Minghao LI. Multi-objective optimization of operation loop recommendation for kill web [J]. Journal of Systems Engineering and Electronics, 2022, 33(4): 969-985. |
| [6] | Peng LIU, Jichao LI, Boyuan XIA, Danling ZHAO, Yuejin TAN. Weapons equipment portfolios selection based on equipment system contribution rates [J]. Journal of Systems Engineering and Electronics, 2021, 32(3): 584-595. |
| [7] | Xing PAN, Huixiong WANG, Yanjing YANG, Guozhong ZHANG. Resilience based importance measure analysis for SoS [J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 920-930. |
| [8] | Yajie DOU, Zhexuan ZHOU, Danling ZHAO, Yong WEI. Weapons system portfolio selection based on the contribution rate evaluation of system of systems [J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 905-919. |
| [9] | Xiaokai Liu, Rong Li, Chenglin Zhao, and Pengbiao Wang. Robust signal recognition algorithm based on machine learning in heterogeneous networks [J]. Journal of Systems Engineering and Electronics, 2016, 27(2): 333-342. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
