并讨论了映射的性质与近似算子性质之间的关系。
The connections between the properties of the mapping and approximation operators are discussed.
最后，给出了广义模糊粗糙近似算子的分解与合成定理。
At last, we we prove the decomposition and synthetize theorems of general fuzzy rough approximation operator.
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, interval structure of distributive BZ lattices and properties of rough approximation operators are discussed.
定义了一种不完备信息系统的上、下近似算子，得到了一些相关的性质。
The upper approximation and the lower approximation operators are defined in incomplete information system. Furthermore, some related properties are discussed.
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。
In this paper, the approximation operators and the random sets, the best parts of the rough sets theory, are studied systematically.
用基于随机集的上粗相等、下粗相等来表示随机上近似算子、随机下近似算子。
The upper rough equal, the lower rough equal based on the random sets are used to express upper approximation operators and the lower approximation operators based on the random sets.
另外，本文在环的直积结构上通过模糊理想的直积诱导近似算子，对相关近似算子的性质进行了研究。
In addition, on the direct product of rings, the approximation operators are introduced by using the direct product of fuzzy ideals and the relevant properties of approximation operators are derived.
配置法是以满足纯插值约束条件的方式，寻求算子方程近似解的方法，且具有无需计算数值积分、计算量小、收敛阶高等优点。
The collocation method is a numerical method which search for the approximate solution of the equation by way of meeting pure interpolation condition.
本文从连续图像出发，将二阶偏微分算子应用于影像函数，利用多重网格算子能得到近似影像的性质，得出一种多分辨影像分解的方法，经过图像重建过程得到融合影像。
Using the so-called approximation of image property by a multi-grid operator, we can derive a method of multi-resolution decomposition of the image, thus the fusion image is formed by reconstructing.
基于规则的模糊算子可以将近似原理应用到图像处理领域内，是一种新颖的图像处理方法。
Rulebased fuzzy operators are a novel class of operators specifically designed in order to apply the principles of approximate reasoning to digital image processing.
基于规则的模糊算子可以将近似原理应用到图像处理领域内，是一种新颖的图像处理方法。
Rulebased fuzzy operators are a novel class of operators specifically designed in order to apply the principles of approximate reasoning to digital image processing.
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