多类型体系贡献率评估的综合问题研究

doi:10.12305/j.issn.1001-506X.2022.05.18

Abstract

Abstract:

In the context of the system-of-systems (SoS) warfare, the contribution rate to SoS (CRSoS) becomes the criterion for evaluating equipment value. With the deepening of the practice and research, there is a multi-type CRSoS comprehensive analysis problem in decision making. This paper illustrates the generation mechanism of the multi-type CRSoS in detail. Furthermore, we analyze mathematically the calculation problem in two situations, diversified target characteristics and target hierarchical characteristics. Three comprehensive calculation models are given, including process end-point solution, multi-objective optimization solution, and fit degree-based solution, which are analyzed by cases study and comparison. The research shows that the multi-type CRSoS should not be directly analyzed by linear weighted summation, but should take appropriate analysis models in different situations.

Key words: contribution rate to system-of-systems, multi-type, comprehensive, mechanism

CLC Number:

Maohuan WANG, Zecong LIU, Haozhe LIANG, Yingchao ZHANG, Lei SUN. Research on comprehensive problem of evaluating multi-type contribution rate to system-of-systems[J]. Systems Engineering and Electronics, 2022, 44(5): 1572-1580.

Figures/Tables 13

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References 39

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武器系统	能力贡献率	连接性贡献率	冗余性贡献率
S1	2.92	23.98	33.33
S2	3.77	36.80	25.00
S3	6.69	36.72	58.33
S4	3.77	52.22	91.66

能力	S	S₁	S₂	S₃	S₄	S₅	S₆	S₇	S₈
侦查能力	5	6	7	6.5	5.5	7	7.5	6	7
指控能力	7.5	8	8	7.5	8	8	8	8	7.5
打击能力	7	8	8	7.5	8	7.5	7.5	7.5	8
防御能力	7	7.5	7	7.5	7	7.5	7	7.5	8
体系能力	6.75	7.5	7.7	7.3	7.3	7.55	7.55	7.35	7.65

贡献率	S₁	S₂	S₃	S₄	S₅	S₆	S₇	S₈
侦查能力贡献率	20.00	40.00	30	10	40	50	20	40
指控能力贡献率	6.67	6.67	0	6.67	6.67	6.67	6.67	0
打击能力贡献率	14.29	14.29	7.14	14.29	7.14	7.14	7.14	14.29
防御能力贡献率	7.14	0	7.14	0	7.14	0	7.14	14.29
体系能力贡献率	11.11	14.07	8.15	8.15	11.85	11.85	8.89	13.33

体系方案	技术贡献率
S₁	12
S₂	7.5
S₃	13
S₄	10
S₅	11
S₆	9
S₇	10
S₈	9

体系方案	贴合度
S₁	0.573 2
S₂	0.565 2
S₃	0.504 3
S₅	0.575 4
S₈	0.576 4

Research on comprehensive problem of evaluating multi-type contribution rate to system-of-systems

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模型	优势	劣势	适用情景
过程终点的求解模型	最终能够计算出目标方案的贡献率结果; 能够揭示每一个目标分解的各要素贡献率的表现情况; 形式简单, 具有很好的解释性。	仅适用于“分解-综合”的评估场景, 当多类型贡献率指标无法有效综合时, 则不适用; 所计算的贡献率结果粒度较大, 无法得出各类型贡献率的结果。	适用于由目标层次化特性形成的多类型贡献率的综合问题。
基于多目标优化的求解模型	能够保留各项贡献率的计算结果; 产生的Pareto解能给决策者提供多个目标备择, 从而一定程度上避免偏颇性。	Pareto解为解集时, 无法直接给出解集中各个方案的对比排序结果; 常用的多目标优化算法计算复杂度较高, 形式较为复杂。	适用于由目标多样化特性形成的多类型贡献率的综合问题; 适用于由不同贡献率机理产生的多类型贡献率的综合问题。
基于贴合度的求解模型	能够保留各项贡献率的计算结果; 能够依据各类贡献率结果进行方案排序; 形式简单, 结果可解释性强。	最终得出的结果为各个装备方案的贴合度评价, 而非以贡献率的形式展现。	适用于由目标多样化特性形成的多类型贡献率的综合问题; 适用于由不同贡献率机理产生的多类型贡献率的综合问题。

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