摘要
针对仿真行动条件下修理分队战场抢修能力考核评估问题,提出基于云模型的野战修理所(battlefield maintenance shop,BMS)选址能力模糊综合评估方法。以抢修行动准备阶段BMS选址能力为评估对象,以传统模糊综合评判方法为基础,考虑评估过程中定性指标主观评价带来的不确定性,引入云模型理论进行改进,并通过Matlab仿真将综合评价云模型与评语云模型进行对比。结果表明:改进后的方法充分体现模糊性和随机性,减少各种不确定因素,实现定性与定量指标的相对精确转换。
Aiming at the problem of battlefield emergency repair capability evaluation of repair unit under the condition of simulation operation,a fuzzy comprehensive evaluation method based on cloud model for site selection capability of battlefield maintenance shop(BMS)is proposed.Taking the BMS site selection ability in the preparation stage of emergency repair as the evaluation object,based on the traditional fuzzy comprehensive evaluation method,considering the uncertainty brought by the subjective evaluation of qualitative indicators in the evaluation process,the cloud model theory is introduced for improvement,and the comprehensive evaluation cloud model and the comment cloud model are compared through Matlab simulation.The results show that the improved method fully reflects the fuzziness and randomness,reduces various uncertain factors,and realizes the relatively accurate conversion of qualitative and quantitative indicators.
作者
秦涛
鲁冬林
曾拥华
郑国杰
Qin Tao;Lu Donglin;Zeng Yonghua;Zheng Guojie(Graduate School,Army Engineering University of PLA,Nanjing 210001,China;No.32228 Unit of PLA,Nanjing 210012,China)
出处
《兵工自动化》
2021年第12期60-65,74,共7页
Ordnance Industry Automation
关键词
云理论
野战修理所
模糊综合评估
选址
cloud theory
field repair institute
fuzzy comprehensive evaluation
site selection