摘要
针对装甲分队目标威胁评估动态指标的变化特性,运用灰色模型(Grey Model,GM(1,1))对装甲分队目标威胁评估动态指标进行了预测;针对现有vague集距离度量法缺失信息较多、违背直觉等不足,通过理论推导提出了vague集新的距离度量公式,然后将其应用到TOPSIS(Technique for Order Preference by Simularity to Ideal Solution)算法中,对装甲分队目标威胁进行了评估与排序,并与非预测方法的评估结果进行了对比,结果表明:采用本文提出的评估算法得出的评估结果更加合理有效,研究成果可为装甲分队火力优化分配提供科学参考。
Aiming at variation characteristics of target threat dynamic index of armored unit,the gray model is used to predict target threat dynamic index;aiming at the shortages that missing information and counterintuitive are more in the existed vague set distance measurement method,a new distance measure formula of vague set is proposed through theoretical derivation,and is applied to the TOPSIS(Technique for Order Preference by Simularity to Ideal Solution)algorithm,and the target threat of armored unit is assessed and sequenced.Comparing with assessment results of non-prediction method,it indicates that the assessment results using the algorithm proposed in this paper is more reasonable and effective,re-search results can provide scientific reference for armored unit fire allocation.
出处
《装甲兵工程学院学报》
2015年第1期25-29,共5页
Journal of Academy of Armored Force Engineering
基金
军队科研计划项目