摘要
针对信息融合系统应综合考虑获取信息所要求的资源、计算复杂度和时间所需要的最小成本的问题,提出了基于模糊偏序关系评估决策的智能信息融合系统,利用模糊偏序关系的排序方法,来对传感器进行评估决策和智能选择,并与证据理论相组合,应用于目标识别,仿真结果表明了该方法的有效性。
To resolve the problem of information fusion systems minimizing the associated eoats in terms of computational complexity, time and required resources in aequiring the information. The intelligent information fusion system based on evaluation and deeision of fuzzy preference relations model is proposed, which uses the ordering method of fuzzy preference relations to evaluation and decision and select sensors, then combines it with evidence theory to target recognition, the simulation result indicates that this algorithm is effectiveness.
出处
《传感器与微系统》
CSCD
北大核心
2008年第11期18-20,共3页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60774023)
关键词
模糊偏序关系
多传感器信息融合
证据理论
目标识别
fuzzy preference relations
multi-sensor information fusion
evidence theory
target recognition
