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部分成员没有毁伤能力的随机格斗的获胜概率
引用本文:袁修久,刘梦阁,赵学军.部分成员没有毁伤能力的随机格斗的获胜概率[J].空军工程大学学报,2015(6):74-78.
作者姓名:袁修久  刘梦阁  赵学军
作者单位:空军工程大学理学院,西安,710051
基金项目:国家自然科学基金(11371369);陕西省电子信息系统综合集成重点实验室基金(20112D005)
摘    要:建立了一方全部成员具有毁伤能力,另一方部分成员具有毁伤能力的随机格斗模型。在双方随机瞄准的条件下,分别就进攻方分组和不分组的情况建立了格斗双方的状态概率微分方程组。在不同的作战停止规则下,给出了进攻方分组和不分组情况下进攻方获胜、防御方防御成功以及出现和局的概率递推算法。在进攻方分组的条件下,证明了不同作战停止规则下获胜概率的性质,不同的作战停止规则导致获胜概率的性质有较大差异。在进攻方不分组与分组的情况下,通过具体数值例子比较进攻方的不同参数下的获胜概率,结果发现没有一种进攻方案绝对占优。

关 键 词:随机格斗模型  获胜概率  毁伤概率

The Probability of Wining of Stochastic Duel of One Side with Some Members not Having Ability to Attack
YUAN Xiujiu,LIU Mengge,ZHAO Xuejun.The Probability of Wining of Stochastic Duel of One Side with Some Members not Having Ability to Attack[J].Journal of Air Force Engineering University(Natural Science Edition),2015(6):74-78.
Authors:YUAN Xiujiu  LIU Mengge  ZHAO Xuejun
Abstract:The stochastic duel models between two forces that on one side all members have ability to attack and on the other side some members do not have the ability to attack are established. Under the condition of stochastic aiming, the differential equations of state probability of the grouped and not grouped offensive side are established. Under the different combat termination decision rules, the algorithms for the probability of wining of the grouped and not grouped offensive side, the probability of successful defense of defense side and the probability of the draw of two side based on recursive formulae are given. In the cases that offensive side grouped, the properties of the probability of winning are proved under the conditions of different combat termination decision rules. Different combat termination decision rules result in a very different property of probability of winning of offensive side. Through the concrete numerical example probabilities of winning with different parameters of the grouped and not grouped offensive side are compared. The results show that there is not a attack scenario which is the absolute dominant.
Keywords:stochastic duel model  the probability of winning  the kill probability
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