
不完备信息条件下基于证据理论的CGF行为决策方法
Behavior decision method of CGF with incomplete information based on evidence theory
针对计算机生成兵力行为决策中遇到的战争迷雾问题, 特别是决策属性中出现的不完备信息情况, 提出基于证据理论的行为决策方法. 首先基于战场决策信息特点分析, 提出精确、模糊、不确定信息的决策属性可信度归一化表示, 然后提出表示备选方案不确定性的执行可信度, 最后根据DS合成法则对多属性可信度信息进行合成. 实验分析说明了该方法的可行性, 以及对于不完备信息处理的有效性.
In order to deal with fog of war problem, especially the incomplete information appeared in decision attribute, which confronted by computer generated forces in the process of behavior decision making, a behavior decision method based on evidence theory is proposed. At first, the decision attribute credible level normalization expression of the exact, fuzzy and uncertain information is presented based on the analysis of the characteristics of battlefield decision information. Then put forward the executed credible level for the uncertain feature of candidate schemes. Finally integrate the credible level information of multi-attribute information through D-S rule of combination. Experiment analysis illustrates the feasibility and the effectiveness to handle the incomplete information of this method.
计算机生成兵力 / 行为决策 / 证据理论 {{custom_keyword}} /
computer generated forces / behavior decision / evidence theory {{custom_keyword}} /
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国防预研基金(9140A04040109KG0115)
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