基于粗糙集的最优仿真装备质量评价模型OA
An Optimal Simulation Equipment Quality Evaluation Model Based on Rough Set Theory
针对诸多评价方法对仿真装备质量评价结果存在差异的问题,如何在诸多方法中决策最优评价方案成了目前的研究热点.运用粗糙集相关理论进行数据挖掘,分析数据挖掘结果,得出改进信息熵法为改进ADC法、改进信息熵法、改进灰色局势决策法3种方法中进行仿真装备质量评价的最佳方案.为更好地进行仿真装备质量评价提供理论依据,也为后续仿真装备改进提供依据和参考,具有一定的军事价值与应用前景.
In response to the problem of differences in the quality evaluation results of simulation equipment among various evaluation methods.How to determine the optimal evaluation scheme among these methods has become a current research hotspot.The relative rough set theory is used for data mining,the results of data mining are analyzed,the obtained and improved information entropy method is the best solution for evaluating the quality of simulation equipment among the three methods of improved ADC method,improved information entropy method and improved gray situation decision-making method.To provide a theoretical basis for better quality evaluation of simulation equipment.To provide a basis for the improvement of subsequent simulation equipment.It has certain military value and application prospects.
闫永玲;张庆波;刘鑫宇
空军工程大学防空反导学院,西安 710051空军工程大学防空反导学院,西安 710051空军工程大学防空反导学院,西安 710051
军事科技
粗糙集理论最优模型仿真装备质量评价
rough set theoryoptimal modelsimulation equipmentquality evaluation
《火力与指挥控制》 2026 (2)
30-37,46,9
技术基础基金资助项目(145BZB210057027X)
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