针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向 异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚 集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和 MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导

Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System

Feature selection method using similarity measure and fuzzy entroropy measures based on the article: P. Luukka, (2011) Feature Selection Using Fuzzy Entropy Measures with Similarity Classifier, Expert Systems with Applications, 38, pp.

根据P. Luukka, (2011)的文章编写的特定提取的方法，使用了相似性测量和模糊测量-According to P. Luukka, specific extraction method (2011) article written using a similarity measure and fuzzy measure