The method used to build the rough model is "Vector Discrete Optimization model".
其中毛坯模型的建立采用优化离散矢量模型法。
This rough model will be refined into one or more models of increasing sophistication and complexity.
这个粗略的模型将被细化成更加精细、更加复杂的一个或多个模型。
Rough model is proposed to build vague regions based on upper and lower approximate sets of rough set theory after the definition of rough regions and rough model.
在粗糙集的基本概念上定义了二维离散空间中的粗糙区域和粗糙模型，基于粗糙模型描述了二维离散空间中的模糊地理对象，并给出了粗糙区域的类型。
Based on the rough model under the similarity relation, some basic properties are studied, and a knowledge acquisition algorithm based on the similarity relation in decision systems is discussed.
本文基于一种相似关系下的粗糙集模型，给出了一些基本性质，讨论了该相似关系下的决策系统的知识获取算法。
In a rough analogy, this is a slightly similar model to ASP.NET or WPF, where you define your user interface in HTML or XAML, and have a code-behind page that handles events.
做一个粗略的比喻的话，这就是和asp.net或WPF有点类似的模型，在这些模型中，你通过HTML或XAML来定义用户界面，在后置代码中处理事件。
Another advantage is that UML offers a more synthetic view: One glance at a model gives you a rough idea of the number of classes and the complexity of the relationships.
另一个好处是UML提供了更具综合性的视图，只要看一眼模型就能大致了解类的数量及其相互关系的复杂程度。
For the future, realistic soft system based on this model of Rough Sets will be theoretically lucubrated and exploited.
今后的工作是开发基于这种粗糙集模型的实用软件系统和理论上的深入研究。
A rough set model to mine default rules was presented in order to reason and solve the decision question with incomplete information.
提出了一种基于粗集的缺省规则挖掘模型，以利于在信息不完备情况下进行推理和决策。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
The thesis studies the generalized rough set models and proposes a multi-level rough set approximation model CBM-RS based on a covering of the universe.
作者研究了粗糙集扩展理论，提出了一种多层粗糙集模型CBM-RS。 该模型是一种基于覆盖的扩展的多层粗糙集模型。
Nevertheless, as sherds weather to the surface, they create a rough statistical model of what's below.
当这些碎片露出地面，就形成了地表下物质的大致数据模式。
On the basis of giving a new type of attribute reduction method, a coupling recognition model is established which combines Rough Sets and neural network closely.
在提出一种属性约简方法的基础上，利用粗糙集和径向基网络的优势，构建了一种耦合模型。
As knowledge block in knowledge base is fuzzy and is obtained randomly, we study the rough set model based on random fuzzy rough sets.
当知识库中的知识模块既是模糊的又是随机得到的，我们定义了基于随机模糊集的粗糙集模型。
Based on rough set and mathematic statistics theories, the state evaluation model for mine ventilation system is proposed.
提出了一种基于粗糙集和数理统计理论的矿井通风系统状态评估模型。
This article applies the generalized covering rough set theory to information retrieval model.
将广义覆盖粗糙集理论及其计算运用到信息检索模型。
A model of rough radial basis function (RBF) neural network with attribute significance is presented.
提出一种基于属性重要性的粗糙rbf神经网络模型。
Rough set theory and fuzzy set theory are two complementary mathematical tools for dealing with imprecision and uncertainty. Rough-fuzzy sets model is established by them.
粗糙集理论和模糊集理论是处理不确定和不精确问题的两种数学工具，它们有很强的互补性，将这两种理论相互融合可以建立粗糙模糊集模型。
A model of rough fuzzy neural network classifiers is proposed.
提出了一种粗糙模糊神经网络分类器的模型。
This paper present a model of data mining based on rough set, from apply various reductive level algorithms on practical data to elicit information set, and get a rules set eventually.
本文提出一种基于粗糙集理论的数据挖掘模型，从实际数据出发，运用不同简化层次的算法，导出每个层次上的信息集，最后得到规则集。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
结合粗糙集和模糊神经网络提出了一种粗糙模糊神经网络识别器的模型。
The improved variable precision rough set model (VPRS) is applied to analyze "the questionnaire of customer's decision-making psychology". The sample includes 910 undergraduate students.
利用改进后的变精度粗糙集模型(VPRS)分析“消费者决策心理调查问卷”，样本包括910个大学生。
Aim To establish a generalized model of rough set theory based on quasi order relation.
目的建立一种基于拟序关系的推广的粗糙集模型。
For the visible parts, their rough location are done advanced, and then the perturbation model into the rough results is added in.
对可见的卫星轨道部分先进行粗略定位，然后加入摄动模型进行精确求解。
This article combine the rough set theory and the biological immunity, based on a model of rough set of immune and biological intrusion detection.
该文将粗糙集理论与生物免疫相结合，提出一种基于粗糙集与生物免疫的入侵检测模型。
Variable precision rough set model was developed to solve emitter recognition problems.
为解决辐射源识别的问题，研究了变精度粗糙集模型生成规则。
To obtain knowledge and data from incomplete decision table(IDT), the paper presents a new doubly variable precision limited tolerance rough set theory model(VPLTRST).
为了能够从不完备决策表（IDT）中进行知识发现和数据挖掘，提出一种新的具有对称性的双重可变精度限制容差关系粗集模型（VPLTRST）。
This paper presents a novel rough set model based on concordance relation, according to which the objects are less indiscernible and tolerant on the basis of classical and tolerant rough sets.
在传统的粗糙集模型和相容粗糙集模型基础上，通过松弛对象之间的不可分辨和相容性条件，给出了一种新的基于和谐关系的粗糙集模型。
The rough sets reduction model is established by integrating rough sets theory with ID3 algorithm based on statistics, uncertainty fuzzy data set information can be processed with the model.
把粗糙集理论与基于概率统计ID3算法结合建立粗糙集约简模型，可处理不精确和模糊数据集信息。
The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.
另外，作者提出了基于分类正确度的粗糙集模型，该模型已用于作者研制的数据挖掘方法MIE-RS上。
The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.
另外，作者提出了基于分类正确度的粗糙集模型，该模型已用于作者研制的数据挖掘方法MIE-RS上。
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