计算机工程2012，Vol.38Issue(15)：172-174,3.DOI:10.3969/j.issn.1000-3428.2012.15.048
基于加权证据理论的模糊信息融合目标识别
Fuzzy Information Fusion Target Recognition Based on Weighted Evidence Theory
摘要
Abstract
Different sensors provide different evidence importance in a target recognizing system with heterogeneous multi-sensor data fusion method. This paper proposes a fuzzy information fusion target recognition method. The evidences are transformed according to their weights before fused together using the Dempster-Shafer(O-S) evidence theory. The sensor measurements and data in the database are simulated by using the fuzzy mathematical model, and the mutual support degree among evidences is obtained from the evidence distances in order that the information weight of the evidence to the system is obtained. Analysis results show that this method has higher accuracy and reliability.关键词
异类传感器/模糊信息/证据理论/信息融合/目标识别Key words
heterogeneous sensor/ fuzzy information/ evidence theory/ information fusion/ target recognition分类
信息技术与安全科学引用本文复制引用
刘兵,李辉,邢钢..基于加权证据理论的模糊信息融合目标识别[J].计算机工程,2012,38(15):172-174,3.基金项目
国家自然科学基金资助项目(61171155) （61171155）
中国航天科技集团公司航天科技创新基金资助项目(CASC200902) （CASC200902）
西北工业大学研究生创业种子基金资助项目(Z2011091,Z2012076) （Z2011091,Z2012076）
