摘要
作战群体的类型识别是兵力聚合中的一个重要问题,针对类型识别所处理的情报及所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,本文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。该方法能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 force aggregation. According to the uncertainty, especially the nonspecificity of intelligence processed and knowledge used during the classification, a method for intelligence representation and combination based on evidence theory and a method for group type modeling that uses templates are proposed in this paper. Further, a group classifying method based on matching combined intelligence to templates is proposed. This method can be used in force aggregation at all command levels, and it can greatly improve the decision efficiency.
出处
《模糊系统与数学》
CSCD
北大核心
2006年第2期119-126,共8页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(7027100460172012)
关键词
群体
证据理论
模板
Group
Evidence Theory
Template
