作为对比,我们还实现了峰值信噪比(PSNR)和模糊积分(FI,Fuzzy Image Metric),并根据它们对待评价图像的度量值计算出了它们与MOS之间的相关系数。
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证据理论和模糊积分融合方法可以减少决策过程中的不确定性，大大的提高了决策的精度。
The evidence theory and fuzzy integral can abate the incertitude and improve the accuracy of decision.
本文将经典的模糊c -均值聚类算法和模糊测度和模糊积分结合起来，并将这两种算法应用于医学病理图象的分割。
In this article we combine the fuzzy C-means algorithm with fuzzy measures and fuzzy integrals and apply the two algorithms to the medicinal pathological image segmentation.
该方法根据模糊控制规则和实际工程经验，在基本模糊控制的基础上增加了一个系数自整定积分器。
In this method the self-adjusting integrator is adopted together with basic fuzzy control, according to the fuzzy control rule and practical experience.
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