摘要
分析了数据融合系统的内在特点,建立了数据融合系统性能评估的综合评估指标体系,提出了一种基于粗糙集和修正熵权的多层次综合评估模型。采用粗糙集理论对指标数据进行属性约减,消除冗余指标,计算属性权重,并对二级指标熵权进行修正;利用层次分析法计算主观权重对一级指标熵权进行修正。实例验证表明,该方法有效可行,提高了评估结果的客观性与可信性,为数据融合系统的开发、论证和实际使用提供了科学的理论决策依据。
After analyzing the features of the data fusion system, we built up a set of the criterions for the evaluation of the data fusion system and proposed a multilevel synthetic evaluation model based on rough set and modified entropy weight. Rough set was applied to reduce redundant attributes and modify the entropy weight of the indexes of the second level. Then, Analytic Hierarchy Process （AHP） was used to get subjective weight and modify the entropy weight of the indexes of the first level. At last, example indicated that the method is effective and feasible. It provides a scientific decision foundation theoretically for development, demonstration and practical application of the data fusion system.
出处
《电光与控制》
北大核心
2012年第3期78-81,105,共5页
Electronics Optics & Control
基金
军队预研基金资助项目(KGDDY08405)
