基于云模型的指挥控制系统效能评估

摘要

As the new generation of combat command and control system is still in the development stage, there are many uncertainties in the effectiveness evaluation,leading to the problem of fuzzy and randomness of the evaluation index.The introduction of cloud model theory transforms the uncertainty of factors into quantita-tive digital features,to achieve the qualitative indicators of quantitative processing.Based on the evaluation of the effectiveness of combat command and control system,firstly,this paper constructs the evaluation index sys-tem on the basis of extensive consultation with the experts on the characteristics of the system;secondly,in or-der to avoid the influence of the subjective factors as much as possible,the queuing theory is used to obtain the index weight,and the uncertainty index is transformed into quantitative cloud digital features by the inverse cloud generator;thirdly,the cloud computing rule is used to combine the index weight with the indicator clouds and obtain a comprehensive evaluation cloud.According to the similarity between this comprehensive evaluation cloud and the standard clouds,a comprehensive assessment of the results is obtained.Finally,compared with the classical fuzzy comprehensive evaluation method and the cloud center of gravity evaluation method,the feasi-bility of this algorithm is verified.%由于新一代指挥控制系统尚处于研制阶段,对其进行效能评估时存在诸多不确定因素,导致评估指标模糊性和随机性较大,引入云模型理论,将不确定性因素转化为定量化的数字特征,实现了定性指标的定量化处理.以作战指挥控制系统效能评估为背景,首先结合系统特点,在广泛征询专家意见的基础上,构建了评估指标体系;其次,为尽可能避免主观因素影响,利用排队理论求解指标权重,并采用逆向云发生器将不确定性指标转化为定量化的云数字特征;利用云运算规则将指标权重与指标云有效融合得出综合评价云,根据综合评价云与各标准云的相似度大小,得出综合评估结果.最后,通过与经典模糊综合评估法和云重心评判法的对比分析,验证了该算法的可行性.