摘要
为解决信息不完备条件下的无人战斗机(UCAV)综合战术决策问题,提出了一种基于扩展不完备信息的UCAV综合战术灰色粗决策方法。考虑粗糙集决策过程中决策属性发生缺失的情况,提出扩展不完备信息系统这一概念;按照"正向指标"的概念,建立聚类指标样本矩阵;基于灰色定权聚类方法补全缺失的决策属性;依据使决策最有可能发生的原则,给出决策信息系统的最优选择,以该最优选择为代表提取出决策规则;根据软、硬杀伤结合使用的UCAV作战想定,建立了UCAV综合战术决策模型,并通过仿真实例给出了决策过程,验证了该方法的正确性和有效性。结果表明:该方法能在条件属性和决策属性都存在部分缺失的情况下正确给出UCAV综合战术行为。
To solve the problems of synthesized tactical decision-making for UCAV in incomplete information,a synthesized tactical gray-rough decision-making method based on extended incomplete information was presented.Considered the decision-making attributes missing in the rough set decision,a concept,namely the extended incomplete information system,was proposed.A sample matrix of clustered indexes was established according to the concept of positive index.The missing decision-making attributes were completed based on gray weighted clustering method.The optimal selection of the decision-making information system was presented according to the principle to make the decision have the maximum probability.The decision-making rules were extracted from the optimal selection.According to the combat＇s tentative plan for UCAV,in which both soft and hard kill weapons were applied,a synthesized tactical decision-making model for UCAV was established.An example was presented to illustrate the decision-making course and verified its correctness and validity.The results show that the method can present the synthesized tactical actions for UCAV accurately when both the condition and decision-making attributes miss partially.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2010年第9期1279-1284,共6页
Acta Armamentarii
基金
空军工程大学优秀博士学位论文创新基金资助项目(BC08002)
国家"863"计划资助项目(2008AAXX50703
2009AAXX15)
关键词
运筹学
无人战斗机
扩展不完备信息
粗糙集
灰色定权聚类
战术决策
operation research
UCAV
extended incomplete information
rough set
gray weighted clustering
tactical decision-making
