基于对象模糊密度赋值的决策层融合算法

针对模糊积分在进行决策层融合识别时，其模糊密度是根据已知类别样本的先验静态信息赋值的，并不能根据具体对象的识别结果进行动态调整使之更接近现实的情形，提出了一种基于对象模糊密度赋值的决策层融合算法。该算法利用各分类器识别具体对象时给出的客观信息计算出其所属类别的区分度,再结合先验静态信息对模糊密度进行动态赋值。将该算法应用于人脸表情识别，实验结果表明，获得了较好的融合效果，提高了表情识别的准确率。

Decision level fusion algorithm with fuzzy densities determined by object

The fuzzy densities of fuzzy integral are determined by the priori static information of labeled samples and cannot be dynamically adjusted by the recognition result of specific objects to be realistic.To overcome this disadvantage,a decision level fusion algorithm with fuzzy integral whose fuzzy densities were determined dynamically by objects was presented.In this algorithm,the fuzzy densities were determined dynamically by combining the discriminabiltity computed from the objective information given by t...