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作 者:周锐[1] 余舟毅[1] 池沛[1] 成晓静[1] 陈宗基[1]
机构地区:[1]北京航空航天大学自动控制系,北京100083
出 处:《系统仿真学报》2005年第9期2130-2133,共4页Journal of System Simulation
基 金:国家自然科学基金;航空科学基金联合基金资助项目(10377001)
摘 要:从感知、评价、决策的认知过程研究了现代军机战术辅助决策系统结构、组成和功能,并对态势评估和任务规划两个关键子系统进行了研究,提出了基于黑板知识库系统的态势评估实现结构。重点研究了基于贝叶斯网络和模糊逻辑技术的战场威胁评估算法,首先采用贝叶斯网络对威胁源的威胁级别进行评估,在此基础上,采用模糊逻辑对各威胁源的相对重要性程度进行综合评估。仿真结果表明了该评估算法的有效性,提高了决策的自动化和智能化程度。A tactical decision aiding system for modern combat aircraft was proposed based on the cognitive decision process of perception, assessment and decision. The key subsystems of situation assessment and mission planning in the decision aiding system were developed. The structure of situation assessment system was proposed based on blackboard. The algorithm of situation assessment based on Bayesian networks and fuzzy logic was established. The threat level was assessed based on Bayesian networks, and then the relative importance for each threat was evaluated using fuzzy logic. The simulation results show that the proposed algorithms have good effectiveness and increase the degree of decision automation and intelligence.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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