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为了提高雷达管制模拟机培训质量评价的准确性和有效性,减少评判者的主观差异对评判结果的影响,提出了一种基于粗糙集理论的综合评价方法。建立了科学的雷达管制模拟机培训质量综合评价指标体系及信息系统;使用基于Pawlak属性重要度的属性约简算法约简信息系统,简化了评价指标体系;采用基于属性重要度的方法确定指标权重,保证了评价的客观性。结果表明,提出的评价方法可减少管制教员的主观影响,能真实反映雷达管制学员的水平,对于提高雷达管制培训质量有着重要意义。
In order to improve the accuracy and effectiveness of training quality evaluation of radar control simulator and reduce the influence of subjective differences of judges on the evaluation results, a comprehensive evaluation method based on rough set theory is proposed. Established a scientific radar training simulator training quality evaluation index system and information system; the use of attribute reduction algorithm based on Pawlak attribute importance to reduce the information system, simplifying the evaluation index system; using attribute-based importance method to determine the index weight , To ensure the objectivity of evaluation. The results show that the proposed evaluation method can reduce the subjective influence of regulated trainers and can truly reflect the level of radar control trainees, which is of great significance for improving the training quality of radar regulation.