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作 者:梁雅俊 张智谦[2] 梁鹏 胡斌[1] 宋海方[1]
机构地区:[1]空军工程大学航空航天工程学院 [2]中国飞行试验研究院 [3]95503部队
出 处:《空军工程大学学报(自然科学版)》2015年第5期35-38,共4页Journal of Air Force Engineering University(Natural Science Edition)
摘 要:ATS研制的日益复杂精细化趋势使得测试资源的优化选择和配置问题也日益突出。针对传统方法存在不足,基于灰色理论和多目标多属性决策理论提出了一种快速、有效的资源选型决策方法:首先综合分析资源选择与配置的重要因素及测试属性,构建了灰色局势资源决策模型;然后通过对多个配置目标加权合成求解该模型,并利用属性权重进行二次决策,最后获得最优的资源选择与配置方案。工程实例分析表明,该方法科学可靠、可操作性强,能够有效解决ATS硬件集成中的测试资源选择与配置问题。Aimed at the problems that the drawbacks of traditional methods are lack of scientific and stand- ardized decision-making process, and can hardly configure the optimal test resource, a quick and efficient method based on the grey theory and multi-attributes decision-making theory is proposed in this paper. Firstly, the grey situation decision-making model is built up with overall consideration of influence factors and test attributes affected the selection and configuration of test resource. Then the model is solved through multi-objectives' weighted synthesis, and the attribute weights are used to execute the second deci- sion-making. The optimal scheme of selection and configuration is finally obtained. The analysis of the practical engineering example shows that the method is of high operability and reliable and scientific. And this can effectively solve the resource selection and configuration issues in automatic test system hardware integration.
分 类 号:V24[航空宇航科学与技术—飞行器设计] TP206[自动化与计算机技术—检测技术与自动化装置]
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