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计算机系统应用英文版:2014,23(1):103-108
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基于云定性仿真的兰彻斯特作战模型
(1.中国科学技术大学 计算机科学与技术学院, 合肥 230027;2.安徽省计算与通讯软件重点实验室, 合肥 230027;3.安徽江淮汽车股份有限公司, 合肥 230022)
Lanchester’s Combat Models Based on Cloud Qualitative Simulation
(1.School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China;2.Anhui Key Laboratory of Software in Computing and Communication, Hefei 230027, China;3.Anhui Jianghuai Automobile Co., Ltd., Hefei 230022, China)
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Received:May 24, 2013    Revised:June 27, 2013
中文摘要: 过去多年来兰彻斯特方程已成为计算机作战仿真领域的标准方法, 然而该类方法不能充分反映建模中相关变量内在的不确定性。鉴于此, 提出了一种基于云定性仿真方法的定性兰彻斯特作战模型, 该方法引入正态云的数字特征和云测度指标表示定性路标值, 并将云测度指标在约束集合中传播以提高仿真结果的准确性, 不仅可以更准确地表征作战模型中相关变量的不确定性, 而且扩充了作战应用的适用范围, 尤其是在无法或无需对模型相关变量精确量化的情况下, 仿真中涉及到如何表征这些不确定性的定性变量时, 该方法具有一定优势。最后以经典历史战役为例验证了该方法的正确性与可行性。
Abstract:During the past many years, Lanchester’s differential equations have been the norm for computer simulations of combat. However, these methods cannot fully reflect the inherent uncertainty of related variables in modeling. In view of this limitation, we propose a Lanchester’s combat models based on cloud qualitative simulation. This method introduces numeric characteristics and cloud measurement index of the normal cloud to represent the qualitative landmarks, and propagate the cloud measurement index within constraint sets to improve the accuracy of simulation results. Consequently, this method allows for a more accurately representation and interpretation of the uncertainty within related variables in modeling, and expands the scope of warfare application. Especially when the relevant variables of the model cannot or need not be quantified precisely involving with the case of representation of qualitative variables with uncertainty, this method has certain advantages. Finally, the examples of classic historical battles demonstrate that this method is a correct and feasible method.
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基金项目:国家自然科学基金(61174144,60874065)
引用文本:
邵晨曦,孙克律,邵振中.基于云定性仿真的兰彻斯特作战模型.计算机系统应用,2014,23(1):103-108
SHAO Chen-Xi,SUN Ke-Lv,SHAO Zhen-Zhong.Lanchester’s Combat Models Based on Cloud Qualitative Simulation.COMPUTER SYSTEMS APPLICATIONS,2014,23(1):103-108