D S方法作为一种重要的处理不确定性问题的数据融合方法,已经广泛应用于各种数据融合系统中。解决D S融合公式在处理冲突证据时的失效问题一直是研究的热点。国内外的各种改进方法主要分为对融合公式的改进和对融合模型的改进2个方向。...D S方法作为一种重要的处理不确定性问题的数据融合方法,已经广泛应用于各种数据融合系统中。解决D S融合公式在处理冲突证据时的失效问题一直是研究的热点。国内外的各种改进方法主要分为对融合公式的改进和对融合模型的改进2个方向。对各种方法进行理论上和数据上的比较分析表明:修改模型的方式效果明显优于修改融合公式。展开更多
Evidence theory is widely used in the field of target recognition. The invalidation problem of this theory when dealing with highly conflict evidences is a research hotspot. Several alternatives of the combination rul...Evidence theory is widely used in the field of target recognition. The invalidation problem of this theory when dealing with highly conflict evidences is a research hotspot. Several alternatives of the combination rule are analyzed and compared. A new combination approach is proposed. Calculate the reliabilities of evidence sources using existing evidences. Construct reliabilities judge matrixes and get the weights of each evidence source. Weight average all inputted evidences. Combine processed evidences with D-S combination rule repeatedly to identify a target. The application in multi-sensor target reeognition as well as the comparison with typical alternatives all validated that this approach can dispose highly conflict evidences efficiently and get reasonable reeognition results rapidly.展开更多
基金This project was supported by the National "863" High Technology Research and Development Program of China(2001AA602021)
文摘Evidence theory is widely used in the field of target recognition. The invalidation problem of this theory when dealing with highly conflict evidences is a research hotspot. Several alternatives of the combination rule are analyzed and compared. A new combination approach is proposed. Calculate the reliabilities of evidence sources using existing evidences. Construct reliabilities judge matrixes and get the weights of each evidence source. Weight average all inputted evidences. Combine processed evidences with D-S combination rule repeatedly to identify a target. The application in multi-sensor target reeognition as well as the comparison with typical alternatives all validated that this approach can dispose highly conflict evidences efficiently and get reasonable reeognition results rapidly.
