基于随机森林赋权和TOPSIS-RSR的目标威胁等级评估

针对目标威胁评估过程中现有赋权方法难以反映指标贡献和威胁等级划分过于主观化的不足,提出了一种基于随机森林赋权和TOPSIS-RSR的目标威胁等级评估方法。该方法首先建立随机森林模型,通过计算模型中指标与威胁值的相关性确定指标权重,然后构建了基于TOPSIS-RSR的威胁等级评估模型,通过对相对优劣距离进行编秩得到目标的威胁排序和威胁等级,并通过ANOVA方差分析检验威胁等级划分结果的合理性。最后通过仿真实验和对比分析证明了所提方法的有效性。

农田信息监测技术现状与展望

农田信息既是农业大数据的重要组成,也是在现代农业生产中实现农田现代化管理的重要基础。将农田信息监测技术划分为航天航空遥感、低空无人机遥感、地面传感网监测和移动机器人监测,并对这些技术现状与应用进行了分析,以及对其发展趋势进行了展望。指出随着互联网、物联网、大数据、云计算、人工智能等的高速发展和应用,以及航空航天与无人机遥感术、农业机器人和农业传感器技术的不断发展,未来农田信息监测将向空天地协同多传感监测和多数据融合智能监测方向发展。

Lanchester equation for cognitive domain using hesitant fuzzy linguistic terms sets

Intelligent wars can take place not only in the physical domain and information domain but also in the cognitive domain.The cognitive domain will become the key domain to win in the future intelligent war.A Lanchester equation considering cognitive domain is proposed to fit the development tendency intelligent wars in this paper.One party is considered to obtain the exponential enhancement advantage on combat forces in combat if it can gain an advantage in the cognitive domain over the other party according to the systemic advantage function.The operational effectiveness of the cognitive domain in war is considered to consist of a series of indicators.Hesitant fuzzy sets and linguistic term sets are powerful tools when evaluating indicators,hence the indicators are scored by experts using hesitant fuzzy linguistic terms sets here.A unique hesitant fuzzy hybrid arithmetical averaging operator is used to aggregate the evaluation.