rough-entropy 粗糙熵
fuzzy rough entropy 模糊粗糙熵
conditional rough entropy 条件粗糙熵
Knowledge-based rough entropy 知识粗糙熵
Rough-set based rough entropy 粗集粗糙熵
rough relational entropy 粗糙关系熵
The image threshold segmentation algorithm based on the Particle Swarm Optimization(PSO) combined with the rough entropy based on boundary region is presented.
提出一种基于微粒群优化(PSO)的边界区域粗糙熵的阈值图像分割算法。
参考来源 - 基于微粒群优化和粗糙熵的图像分割算法·2,447,543篇论文数据，部分数据来源于NoteExpress
Rougness, rough entropy, fuzziness, and fuzzy entropy are major methods for measuring the uncertainty of rough sets.
粗糙集的不确定性度量方法，目前主要包括粗糙集的粗糙度、粗糙熵、模糊度和模糊熵。
The image threshold segmentation algorithm based on the Particle Swarm Optimization (PSO) combined with the rough entropy based on boundary region is presented.
提出一种基于微粒群优化(PSO)的边界区域粗糙熵的阈值图像分割算法。
The concept of rough entropy is proposed. The monotony between the uncertainty of knowledge in the rough set theory and its corresponding rough entropy is proved.
提出了粗糙信息熵的概念，证明了粗糙集理论中知识不确定性与其所对应的粗糙信息熵之间的单调关系。
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