但是对于模糊积分，如何计算模糊积分密度是一个尚未解决的问题。

Fuzzy integral is one of the ways to combine classifiers, but how to calculate the fuzzy integral density is a problem which remains unsolved.

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给出了基于隶属度矩阵的模糊积分密度确定方法，介绍了基于模糊积分的分类器集成算法。

For this object, a method of determining fuzzy integral density with membership matrix is proposed, and the classifier ensemble algorithm based on fuzzy integral is introduced.

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实验表明，采用新的基于模糊积分的融合方法，只要选择适当的模糊密度，就可以使得融合图像在提高空间细节质量的同时，相比其它融合算法能够具有更好的光谱质量。

The experiment shows that while the developed method can keep spectral quality of fused image, it can update the spatial detail quality of fused image when appropriate fuzzy density is chosen.

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