Target threat assessment based on random forest and grey relational analysis
In response to the current issues in target threat assessment,where existing weighting methods fail to accur-ately reflect the contribution of indicators and threat levels are excessively subjective,a novel target threat assessment model is proposed.This model integrates Random Forest weighting and Grey Relational Analysis,successfully ranking the threat levels of different targets using limited operational indicator data.Specifically,an initial Random Forest model is established to analyze the relationships between indicators and threat values,determining the weights of each indicator.Subsequently,a threat level assessment model is constructed based on Grey Relational Analysis,ensuring a more objective and rational alloc-ation of resources.The results demonstrate the effectiveness and rationality of this hybrid assessment approach.
万方数据
维普
