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D-S证据理论融合粗糙集的火控系统状态评估 被引量:8

State Evaluation of Fire Control System Based on Fusion of D-S Evidence Theory and Rough Set
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摘要 以武器装备火控系统的核心分系统——火控计算机及传感器分系统为研究对象,利用粗糙集结合D-S证据理论的状态评估方法实时评估了其运行状态等级,为武器系统的战备能力评估提供了借鉴。首先利用粗糙集对评估对象的评估指标在摒弃冗余属性保留核心指标的前提下获得最简属性集,避免了后续证据融合环节的规则组合爆炸现象的出现,并提高了融合效率;然后利用粗糙集获取较为客观的基本可信度,避免了由于人为因素的干扰产生的主观影响,此也解释了二者相结合的优势所在;接着利用D-S证据理论进行融合证据获取最终的火控计算机状态等级;最后通过试验数据结果表明,所得结论与实际和运行状态一致,验证了所提方法的有效性。 This paper takes the core subsystem of weapon equipment fire control system,fire control computer and sensor subsystem as the research object.Based on the state evaluation method of rough set combined with D-S evidence theory,the operational state level is evaluated in real time,which provides a reference for the combat readiness evaluation of weapon system.First of all,rough set is used to obtain the simplest attribute set for the evaluation index of the evaluation object without redundancy attribute and retaining the core index,which avoids the explosion of rule combination in the subsequent evidence fusion process,and improves the fusion efficiency.And the rough set is used to obtain the objective basic credibility,which avoids the subjective influence caused by human factors,which also explains the advantages of the combination of the two intelligent algorithms.Then,the evidence theory is used to fuse the evidence to obtain the final state level of fire control computer.Finally,the experimental results show that the conclusion is consistent with the actual and operating conditions,which verifies the effectiveness of the proposed method.
作者 王嫒娜 李英顺 贺喆 WANG Ai-na;LI Ying-shun;HE Zhe(School of Electrical and Information Engineering,Guangxi University of Science and Technology,Liuzhou 545000,China;School of Control Science and Engineering,Dalian University of Technology,Dalian 116200,China;Army Shenyang Military Station in Shenyang District Military Representative Office,Shenyang 110000,China)
出处 《控制工程》 CSCD 北大核心 2020年第12期2176-2184,共9页 Control Engineering of China
基金 国家自然科学基金项目(61325014)。
关键词 火控系统 状态评估 粗糙集 D-S证据理论 信息融合 Fire control system state evaluation rough set D-S evidence theory information fusion
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