We give some properties of random fuzzy rough sets.
给出了随机模糊粗糙集的性质。
Some applications of the rough sets are also introduced.
对粗糙集的应用进行了论述。
The concepts and characterization of fuzzy and rough sets are presented in this paper.
介绍了模糊集合及粗糙集合的概念和特征。
The relationship between fuzzy sets and single direction singular rough sets is discussed.
讨论模糊集合与单向奇异粗集之间的联系。
A method of constructing knowledge based fuzzy perceptron based on rough sets theory is proposed.
提出了用粗糙集理论构造模糊多层感知器的方法。
The discretization of real value attributes is one of the most main problems in rough sets theory.
连续属性的离散化是粗糙集理论的主要问题之一。
By comparing rough sets and random sets, we derive the relation between belief function and lower probability.
首先将粗糙集与随机集作了比较，并由此得出了信任函数与下概率的关系。
The presentation of rough sets based on tolerance relations expands the application scope of rough set theory.
基于容差关系粗糙集的提出扩大了粗集的应用范围。
From the rough sets theory, this text discusses the relations between the granularity, resolution and entropy.
论文从传统粗集理论出发，讨论在粗集理论中粒度、分辨度与熵的关系。
The conception of variation fuzzy rough sets is proposed and their relevant properties and theorems are given.
提出了变异模糊粗集的概念，并给出了变异模糊粗集的相关性质和定理。
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。
First we compare rough sets and random sets, and derive the relationship between belief function and lower probability.
首先将粗糙集与随机集作了比较，并由此得出了信任函数与下概率的关系。
To propose a modeling strategy of rolling horizon scheduling based on a rough sets theory and the general control idea.
提出了一种基于粗集理论和广义控制思想的滚动调度建模策略。
In this paper based on rough sets theory and neural network a new optimizing method of supplier 's choice is put forward.
本文提出了一种基于粗集理论与神经网络相结合的供应商优化选择新方法。
In this paper, a rough sets based global reduction approach, which is suitable for imaging spectrometer image is proposed.
提出一种对高光谱遥感影像波段集合进行整体缩减的方法。
The graphic structure analysis for algebraic relationship of rough sets is a new research direction of the rough set theory.
粗糙集代数关系的图结构分析是粗糙集理论中又一研究方向。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
We also proved a one-to-one correspondence between the class of the random rough sets and the random rough approximation space.
证明了在随机粗糙集类和随机近似空间之间存在一个一一对应。
Based on covering rough sets, fuzzy covering generalized rough sets is defined, and some corresponding properties are discussed.
在基于覆盖的粗糙集的基础上，定义了基于覆盖的模糊粗糙集模型，并且讨论了该模型的一些相关性质。
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。
In this paper, the mathematical foundation study of rough sets and the study of two general rough sets models are mainly researched.
本文主要进行了粗糙集的数学基础研究，与程度粗糙集和变精度粗糙集两个广义粗糙集模型的探讨。
Objective: Correlative characteristic peaks of HPLC selected by rough sets were employed to identify the habitats of Radix Astragali.
目的：采用粗糙集方法选取相关特征色谱峰用于黄芪药材的产地鉴别。
A modeling strategy of rolling optimal scheduling based on rough sets theory and feedback correction of general control is presented.
提出一种基于粗集理论和广义控制的滚动优化调度建模策略。
The effect extent of soil property for wheat yield was analyzed by using correlation analysis, grey associate analysis and rough sets theory.
运用简单相关、灰色关联分析方法和粗糙集理论，分析了土壤特性对小麦籽粒产量的影响。
In allusion to the redundancy of neural network structure, a optimizing method of neural network structure based on rough sets is established.
针对神经网络的结构存在冗余的问题，提出了一种利用粗糙集优化神经网络结构的方法。
The basic topology, knowledge representation and inductive learning of an intelligent expert system on rough sets are introduced in this paper.
文章主要介绍基于粗集方法的智能专家系统的基本构成、知识表达方式及学习推理方法。
Fault diagnosis model and learning rule of RBF ANN is studied. Fault diagnosis principle and step of RBF ANN based on rough sets theory is given.
研究了RBF神经网络故障诊断模型及学习规则，给出了基于粗糙集理论的RBF神经网络故障诊断原理和步骤。
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。
To find a high performance reduction algorithm is a focus point in the research on rough sets, but there doesn't exist an efficient method so far.
寻求一种高效的属性约简算法仍然是粗糙集的研究热点之一，现尚不存在一种非常有效的约简算法。
Group reasoning based on rough sets-combining uncertain information deployment method with group decision theory and method, is a new kind research area.
基于粗糙集理论的群体推理——即将不确定性信息处理技术与群决策理论与方法集成的研究，是一个崭新的研究领域。
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