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贝叶斯网络的编队对地攻击作战效能评估
引用本文:穆中林,廖俊,于雷.贝叶斯网络的编队对地攻击作战效能评估[J].火力与指挥控制,2012,37(3):63-66.
作者姓名:穆中林  廖俊  于雷
作者单位:空军工程大学工程学院,西安,710038
基金项目:航空科学基金资助项目(20085196011)
摘    要:针对影响编队作战效能的不确定性因素,提出基于灰色模糊贝叶斯网络的作战效能评估模型.该模型首先将不确定性因素分为灰色模糊域和概率域两大类,然后在灰色模糊域使用灰色模糊综合评判对不确定性因素进行评判,并运用可能性概率转换理论将评判结果转换为概率域知识,最后在概率知识域使用贝叶斯网络推理算法得到作战效能评估指标值.实例计算表明,该方法能够较好地量化处理不确定性知识,具有一定的实用性.

关 键 词:编队对地攻击  作战效能评估  贝叶斯网络  灰色模糊综合评判

Formation Attacking Ground Targets Effectiveness Evaluation Based on Bayesian Network
MU Zhong-lin , LIAO Jun , YU Lei.Formation Attacking Ground Targets Effectiveness Evaluation Based on Bayesian Network[J].Fire Control & Command Control,2012,37(3):63-66.
Authors:MU Zhong-lin  LIAO Jun  YU Lei
Institution:(The Engineering College,Air Force Engineering University,Xi’an 710038,China)
Abstract:To process the uncertain factors which influence the formation combat effectiveness,a model of operational effectiveness evaluation based on gray-fuzzy Bayesian network was proposed.The uncertain factors were divided into gray-vagueness domain and probability domain.The gray-vague factors were handled by gray-fuzzy comprehensive evaluation,and then the result was translated into the probabilistic type by the possibility/probability transformation theory.All the uncertain factors were figured in probabilistic type and processed by Bayesian network to produce the result of the evaluation index.An example indicates that the method can well quantify the uncertain factors,and so it is practicable.
Keywords:formation attacking ground targets  operational effectiveness evaluation  Bayesian network  gray-fuzzy comprehensive evaluation
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