Under the concept of fuzzy neighborhood operators, rough approximation operators on dual universes are introduced. Then, the mistake classification rate between two fuzzy sets is defined.
一方面在模糊邻域算子的概念下给出了双论域上的粗糙上下近似算子;另一方面提出了在一定错分率存在的条件下的模糊集合间的相对错分率,之后结合这两个理论给出了基于模糊邻域算子的模糊变精度粗糙集模型。
参考来源 - 粗糙集理论模型研究The current researches on fuzzy rough sets are focused on construction of fuzzy rough approximation operators. Howerver little attention is paid to fuzzy granulation.
当前模糊粗糙集的研究主要集中于模糊近似算子的构造,忽略了对模糊粒化结构的分析。
参考来源 - 混合数据知识发现的粗糙计算模型和算法·2,447,543篇论文数据，部分数据来源于NoteExpress
The connections between the properties of the mapping and approximation operators are discussed.
并讨论了映射的性质与近似算子性质之间的关系。
In this paper, interval structure of distributive BZ lattices and properties of rough approximation operators are discussed.
讨论了分配bz格的区间结构及其粗糙近似算子的性质。
In this paper, the approximation operators and the random sets, the best parts of the rough sets theory, are studied systematically.
本文对粗糙集理论中最基本的部分——近似算子及随机集进行了较系统的探讨。
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