摘要
针对类型识别所处理的情报和使用的知识的不确定性,尤其是情报与知识在观点上的不明确性,提出了基于证据理论的情报表示及组合方法,并给出了群体类型的模板表示方法,进而提出了基于组合情报与模板模糊匹配的作战群体类型识别方法。该方法可应用于各个层次的兵力聚合过程,以辅助各个指挥层次的军事决策,提高决策的速度及效率。
Group classification is an important problem in situation assessment. Aiming at the uncertainty, especially the nonspecificity of the processed intelligence and the used knowledge when implementing the classification, the method for intelligence representation and combination based on evidence theory and the method for group type modeling that uses templates are first described in this paper. Further, a group classifying method based on matching combined intelligence to templates is proposed. This method can be applied in force aggregation at all command levels and can greatly improve the decision efficiency.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第12期1845-1849,共5页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题(70271004
60172012)
关键词
群体
证据理论
模板
态势评估
兵力聚合
group
evidence theory
template
situation assessment
force aggregation
