引用本文: | 张尧,王建楠.无人机飞行训练资源配置效率的AHP-Arena综合评价方法[J].国防科技大学学报,2022,44(4):204-212.[点击复制] |
ZHANG Yao,WANG Jiannan.AHP-Arena comprehensive evaluation method for the efficiency of allocation of UAV flight training resources[J].Journal of National University of Defense Technology,2022,44(4):204-212[点击复制] |
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无人机飞行训练资源配置效率的AHP-Arena综合评价方法 |
张尧1,3,王建楠2 |
(1. 武警工程大学 研究生大队, 陕西 西安 710086;2. 武警部队研究院 装备技术研究所, 北京 100012;3. 武警特种警察学院 情报侦察系, 北京 102211)
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摘要: |
为降低传统层次分析法(analytic hierarchy process,AHP)赋权过程主观片面性影响,提出了一种综合AHP与Arena仿真建模技术的无人机训练资源配置效率评价方法。基于飞行训练流程分析,确定了训练资源配置效率影响因素和效率评价指标,建立了层次型综合评价体系,概括了AHP-Arena综合评价步骤。利用Arena建模软件构建训练流程动态仿真系统并验证有效性,采用单变量数值仿真法、均方差决策法完成了影响因素客观赋权,通过线性加权综合法得出综合评价系数,实现资源配置效率评价与方案优选。实例应用说明了该方法的有效性,同时,该方法可推广至其他类似的训练过程中,亦可为其他多因素、多指标评价决策过程提供借鉴。 |
关键词: 无人机 飞行训练 训练资源配置效率 层次分析法 |
DOI:10.11887/j.cn.202204023 |
投稿日期:2021-05-04 |
基金项目:国家部委基金资助项目(WJ20191A010005) |
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AHP-Arena comprehensive evaluation method for the efficiency of allocation of UAV flight training resources |
ZHANG Yao1,3, WANG Jiannan2 |
(1. Postgraduate Brigade, Engineering University of PAP, Xi′an 710086, China;2. Institute of Equipment Technology, Academy of PAP, Beijing 100012, China;3. Department of Intelligence and Reconnaissance, Special Police College of PAP, Beijing 102211, China)
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Abstract: |
In order to reduce the subjective one-sided influence of empowerment process of the traditional hierarchical analysis method, a comprehensive AHP(analytic hierarchy process) and Arena simulation modeling technology was proposed to evaluate the efficiency of the allocation of UAV(unmanned aerial vehicle) training resources. Based on flight training process analysis, the factors influencing the efficiency of training resource allocation and efficiency evaluation index were determined, a hierarchical comprehensive evaluation system was established, and the comprehensive evaluation steps of AHP-Arena were summarized. Arena modeling software was used to realize the dynamic simulation system of the training process and verify the validity, the single-variable numerical simulation method and the mean variance decision-making method were used to complete the objective empowerment of the influencing factors, and the comprehensive evaluation coefficient was obtained by linear weighting comprehensive method, so as to implement resource allocation efficiency evaluation and selection of the optimal program.The practical application shows the effectiveness of the method. Meanwhile, this method can be extended to other similar training processes, and can also provide references for other multi-factor multi-indicator evaluation decision-making processes. |
Keywords: unmanned aerial vehicle flight training training resource allocation efficiency analytic hierarchy process |
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