PDF(1218 KB)
PDF(1218 KB)
PDF(1218 KB)
潜空导弹武器系统作战效能评估模型
Combat effectiveness evaluation model of submarine-to-air missile weapon system
针对潜空导弹武器系统作战效能评估中不确定性指标难以进行量化的特点,将灰云模型应用到白化权函数中,改进了灰色评估法白化权值的确定方法,实现了定性与定量评估的有效转换.并采用三标度法构造判断矩阵,克服了传统层次分析法求权值不够客观且需要进行一致性检验的缺点,建立了集成灰云模型和改进层次分析法两者优点的作战效能评估模型,提高了效能评估的可信度,为潜空导弹武器系统作战效能的评估提供了有效途径.
According to the difficulty of quantifying the uncertain index in the combat effectiveness evaluation of submarine-to-air missile weapon system, the grey cloud model is applied to improve the classic method of determining whitenization weight, which solves the transition problem between qualitative and quantitative. Moreover, three scale methods cited to construct the judgement matrix overcome the disadvantage that the classic analytic hierarchy process (AHP) is not objective and needs consistency examination. On this basis, a new combat effectiveness evaluation model which combined grey cloud model and improved analytic hierarchy process is built up. This model increases the credibility of effectiveness evaluation and provides a new valid approach to combat effectiveness evaluation of submarine-to-air missile weapon system.
灰云模型 / 改进层次分析法 / 潜空导弹武器系统 / 作战效能评估 {{custom_keyword}} /
grey cloud model / improved analytic hierarchy process / submarine-to-air defense missile weapon system / combat effectiveness evaluation {{custom_keyword}} /
[1] 纪金耀. 外军和台军反潜作战[M]. 北京: 军事科学出版社, 2002: 112-120.Ji Jinyao. Anti-submarine warfare of foreign army and Taiwan army[M]. Beijing: Military Science Press, 2002: 112-120.
[2] 罗霄, 常卫伟. 潜空导弹发射技术发展综述[J]. 舰船科学技术, 2010, 32(11): 146-150.Luo Xiao, Chang Weiwei. Development survey of launching technology of submarine-launched air defense missile[J]. Journal of Ship Science and Technology, 2010, 32(11): 146-150.
[3] 郑雪冰, 陈慧敏. 模糊层次分析法在航空电子系统作战效能评估中的应用[J]. 光学技术, 2006, 32(S): 247-249.Zheng Xuebing, Chen Huimin. An application to evaluate the fight effectiveness of avionics system based on FAHP[J]. Journal of Optical Technique, 2006, 32(S): 247-249.
[4] 潘高田, 周电杰, 王远立. 系统效能评估ADC模型研究和应用[J]. 装甲兵工程学院学报, 2007, 21(2): 5-7.Pan Gaotian, Zhou Dianjie, Wang Yuanli. Research and application of the system effectiveness evaluation ADC model[J]. Journal of Academy of Armored Force Engineering, 2007, 21(2): 5-7.
[5] 李德毅, 刘常昱. 论正态云模型的普适性[J]. 中国工程科学, 2004, 6(8): 28-34.Li Deyi, Liu Changyu. Study on the universality of normal cloud model[J]. Engineering Science, 2004, 6(8): 28-34.
[6] 李德毅, 孟海军, 史雪梅. 隶属云和隶属云发生器[J]. 计算机研究和发展, 1995, 32(6): 16-21.Li Deyi, Meng Haijun, Shi Xuemei. Membership clouds and membership cloud generators[J]. Journal of Computer Research and Development, 1995, 32(6): 16-21.
[7] 王洪利, 冯玉强. 基于灰云的改进白化模型及其在灰色决策中应用[J]. 黑龙江大学自然科学学报, 2006, 23(6): 740-745.Wang Hongli, Feng Yuqiang. Ablation model based on the improved gray cloud and its application in the gray decision[J]. Journal of Natural Science of Heilongjiang University, 2006, 23(6): 740-745.
[8] 刘思峰, 谢乃明. 灰色系统理论及其应用[M]. 北京:科学出版社, 2008: 22-25.Liu Sifeng, Xie Naiming. Application of grey theory[M]. Beijing: Science Press, 2008: 22-25.
[9] 王健, 肖文杰, 盛文, 等. 一种改进灰云模型的效能评估方法[J]. 微计算机信息, 2009, 25(4): 277-279.Wang Jian, Xiao Wenjie, Sheng Wen, et al. An improved effectiveness evaluation method based on grey cloud model[J]. Journal of Microcomputer Information, 2009, 25(4): 277-279.
[10] Saaty T L. There is no mathematical validity for using fuzzy number crunching in the analytic hierarchy process[J]. Journal of Systems Science and Systems Engineering, 2006, 15(4): 457-464.
[11] 姜启源, 谢金星. 数学模型[M]. 北京:高等教育出版社, 2007.Jiang Qiyuan, Xie Jinxing. Mathematical model[M]. Beijing: Higher Education Press, 2007.
[12] 白俊文, 侍克斌. 用改进的层次分析法(AHP)进行坝基防渗方案的优选[J]. 水利与建筑工程学报, 2004, 2(4): 11-14.Bai Junwen, Shi Kebin. Improved hierarchy analysis process of dam foundation[J]. Journal of Water Resources and Architectural Engineering, 2004, 2(4): 11-14.
[13] 张卫中. 改进的AHP及其在地灾易发程度分区中的实践[J]. 土木建筑与环境工程, 2009, 31(2): 85-89.Zhang Weizhong. Improved AHP assessment model and its practice in geological hazard susceptibility zoning[J]. Journal of Civil, Architectural & Environmental Engineering, 2009, 31(2): 85-89.
/
| 〈 |
|
〉 |
