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
The main contents of the dissertation are as follows: the entropy methods to measure the uncertainty and the fuzziness in rough sets are proposed.
全文的主要内容如下：针对粗糙集中存在的不确定性和模糊性，提出了新的熵测量方法。
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。
The analysis and real example show that the modified rough entropy method for measuring uncertainty in rough sets is more reasonable and more accurate than the classical methods.
通过分析和实例可以看出，所提出的修正粗糙熵方法可以用来更合理、更精确地测量粗糙集中的不确定性。
应用推荐