基于软计算的轻武器装备体系贡献率评估方法
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摘要
武器装备体系贡献率评估对体系作战能力建设、作战使用保障和实战化训练等具有重要意义。针对武器装备体系具有高度非线性、不确定性和模糊性等特点,提出利用软计算对武器装备体系贡献率进行评估的方法。采用基于遗传算法的模糊聚类方法对轻武器体系中的武器进行软分类,构造了基于软分类的模糊神经网络;通过任务子能力-体系子能力-体系总能力的模糊映射链求解各模糊映射中的贡献率,充分发挥神经网络的容错性和鲁棒性适应数据资料不完整性和专家认识主观性的特点。采用该评估方法对某轻武器装备体系进行了实例分析,有效评估出体系中下级指标对上级指标的体系贡献率,验证了评估方法的可行性。
The assessment of contribution rate of weapon equipment system is of great significance to the system's combat capability construction,operational support,and actual combat training. A soft computing-based assessment method for the contribution rate of weapon equipment system is proposed for the high nonlinearity,uncertainty and ambiguity of weapon equipment system. The fuzzy clustering method based on genetic algorithm is used for the soft classification of the weapons in the small arms system,and a fuzzy neural network based on soft classification is constructed. The fuzzy mapping chain based on the task sub-capacity-system sub-capability-total system capacity is used to solve the contribution rate. The contribution rate in the middle makes full use of the fault tolerance and robustness of the neural network to adapt to the incompleteness of data and the subjectivity of expert's cognition. The proposed method is used to analyze the case of a small arms equipment system,the contribution rate of the lower-level indicators to the higher-level indicators in the system is assessed,and the feasibility of the method is verified.
The assessment of contribution rate of weapon equipment system is of great significance to the system's combat capability construction,operational support,and actual combat training. A soft computing-based assessment method for the contribution rate of weapon equipment system is proposed for the high nonlinearity,uncertainty and ambiguity of weapon equipment system. The fuzzy clustering method based on genetic algorithm is used for the soft classification of the weapons in the small arms system,and a fuzzy neural network based on soft classification is constructed. The fuzzy mapping chain based on the task sub-capacity-system sub-capability-total system capacity is used to solve the contribution rate. The contribution rate in the middle makes full use of the fault tolerance and robustness of the neural network to adapt to the incompleteness of data and the subjectivity of expert's cognition. The proposed method is used to analyze the case of a small arms equipment system,the contribution rate of the lower-level indicators to the higher-level indicators in the system is assessed,and the feasibility of the method is verified.
引文
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[15]毛义华,阮连法,郑邦岩.效用方法评价施工企业综合经济效益[J].浙江大学学报(自然科学版),1997,31(5):592-599.MAO Y H,RUAN L F,ZHENG B Y. Applying utility theory to the synthetic assessment of economic benefit on construction enterprises[J]. Journal of Zhejiang University(Natural Science),1997,31(5):592-599.(in Chinese)
[2]王美乂,张凤鸣,刘智.模糊信息的熵权多属性决策方案评估方法[J].系统工程与电子技术,2006,28(10):1523-1525.WANG M Y,ZHANG F M,LIU Z. Evaluation method of the multi-attribute scheme based on entropy weight of fuzzy information[J]. Systems Engineering and Electronics,2006,28(10):1523-1525.(in Chinese)
[3]刁联旺,彭亚霖,刘焕章.实战条件下坦克对装甲目标射击的综合命中概率[J].兵工学报,2002,23(1):123-125.DIAO L W,PENG Y L,LIU H Z. Integrated hit probability of tank firing at armored targets in live circumstances[J]. Acta Armamentarii,2002,23(1):123-125.(in Chinese)
[4]陈晨,王赟.基于数据场站的系统效能评估决策支持方法[J].国防科技大学学报,2014,36(1):124-130.CHEN C,WANG Y. Data yard based system effectiveness evaluation and decision support method[J]. Journal of National University of Defense Technology,2014,36(1):124-130.(in Chinese)
[5]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,2015,26(5):1-6.LUO X M,ZHU Y L,HE R. SEM-based evaluation method of contribution to system war-fighting for weapons and equipments[J]. Journal of Equipment Academy,2015,26(5):1-6.(in Chinese)
[6]陈小卫,谢茂林,张军奇.新型装备对作战体系的贡献机理[J].装备学院学报,2016,27(6):26-30.CHEN X W,XIE M L,ZHANG J Q. Analysis on the contribution mechanism of new equipment system to the warfighting system[J].Journal of Equipment Academy,2016,27(6):26-30.(in Chinese)
[7]马亚辉,李洋.空中预警平台体系贡献率建模研究[J].数字通信世界,2018(4):97-98.MA Y H,LI Y. Research on modeling of contribution rate of airborne early warning platform system[J]. Digital Communication World,2018(4):97-98.(in Chinese)
[8]陈小卫,张军奇,杨永志.新研装备体系贡献率度量方法分析[J].兵器装备工程学报,2018,39(4):19-22.CHEN X W,ZHANG J Q,YANG Y Z. Analysis of the measurement method of the contribution rate of the new research equipment system[J]. Journal of Ordnance Equipment Engineering,2018,39(4):19-22.(in Chinese)
[9]张颖,刘艳秋.软计算方法[M].北京:科学出版社,2002.ZHANG Y,LIU Y Q. Soft computing method[M]. Beijing:Science Press,2002.(in Chinese)
[10]李士勇.模糊控制·神经控制和智能控制论[M].哈尔滨:哈尔滨工业大学出版社,1998.LI S Y. Fuzzy control:neurocontrol and intelligent cybernetics[M]. Harbin:Harbin Institute of Technology Press,1998.(in Chinese)
[11]诸克军,苏顺华,黎金玲.模糊c-均值中的最优聚类与最佳聚类数[J].系统工程理论与实践,2005,3(3):52-61.ZHU K J,SU S H,LI J L. Optimal clustering and optimal clustering numbers in fuzzy c-means[J]. Systems Engineering—Theory&Practice,2005,3(3):52-61.(in Chinese)
[12] BEZDEK J C. Pattern recognition with fuzzy objective function algorithms[M]. New York,NY,US:Plenum Press,1981.
[13]陶章华,郭耀煌,张炜.生产函数的一种基本理论表达式———弹性生产函数[J].管理工程学报,2001,15(2):19-21.TAO Z H,GUO Y H,ZHANG W. An essential theoretic expression of production function—elasticity production function[J].Journal of Industrial Engineering and Engineering Management,2001,15(2):19-21.(in Chinese)
[14]王周焰,王烷尘.模糊推理在系统预测中的应用[J].系统工程理论方法应用,2000,9(4):326-329.WANG Z Y,WANG W C. Application of fuzzy reasoning in system prediction[J]. Systems Engineering Methodology,2000,9(4):326-329.(in Chinese)
[15]毛义华,阮连法,郑邦岩.效用方法评价施工企业综合经济效益[J].浙江大学学报(自然科学版),1997,31(5):592-599.MAO Y H,RUAN L F,ZHENG B Y. Applying utility theory to the synthetic assessment of economic benefit on construction enterprises[J]. Journal of Zhejiang University(Natural Science),1997,31(5):592-599.(in Chinese)