set theory
美 
英
- na.【数】集(合)论
- 网络集合论；集合论与代数结构；集论
英汉解释
英英解释
例句
However, except for the elementary part, the system of Principia is no longer much used, having been largely superseded by set theory.
然而，除了小学的一部分，该系统的原理不再是经常使用，已经在很大程度上取代了一套理论。
Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research.
属性约简是粗糙集理论的一个核心问题，近年来已经成为粗集研究的热点。
The core of rough set theory is a pair of non-numerical operators, i. e. lower and upper approximation operators.
粗集理论的核心是一对非数值型算子，即上下近似算子。
Whereas, Zadeh's fuzzy set theory in terms of membership provides an effective platform in dealing with numerous fuzzy linguistic phenomena.
而查德的模糊集理论用隶属度这一概念能较好地处理语言的模糊性。
The discretization of continuous attributes is one of the most main problems in applying of rough set theory.
连续属性离散化是粗集理论应用中面临的主要问题之一。
The Attribute reduction of Information system is one of the focus of Rough Set Theory and Applied research.
信息系统的属性约简是所有粗糙集理论和应用研究的焦点问题之一。
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。
Under incomplete information system, rules extraction is one of the key problems of rough set theory.
不完备信息系统中的规则提取是粗糙集理论研究的关键问题之一。
Then based on the point-set theory, a qualitative model about spatiotemporal topological relations between moving objects i.
时空拓扑关系是移动对象时空特性研究的一个重要内容。
Fuzzy set theory and rough set theory has a strong complementary in dealing with uncertain problem.
模糊集理论与粗糙集理论在处理不确定性问题方面具有较强的互补性。
Discrete mathematics: logic, set theory, combinatorics, graph theory, and algorithms, complex variables, numerical analysis.
（离散数学）：逻辑，结合论，组合学，图论，算法，复变量，数值分析。
Mathematicians typically justify their fundamental axioms, in particular those of set theory, by informal appeals to the imagination.
数学家就是个典型，他们会通过想象来证实基本原理尤其是集合论。
Attributes reduction is one of important parts researched in rough set theory.
属性约简是粗糙集理论的重要研究内容。
when we describe the fuzzy concept of approximate space in rough set theory , the fuzzy rough set was generated correspondingly.
所以作为粗集描述近似空间中的知识是模糊概念时，我们就有模糊粗集的理论产生。
Rough set theory and its application is a new academic focus, widely used in a lot of fields.
粗糙集理论及其应用是一个新的学术热点，在许多领域得到了广泛的应用。
The characteristics of Rough set theory and Artificial Neural Network are very bright and obviously complementary.
粗糙集理论和人工神经网络技术的特点都很鲜明并且有着较为明显的互补性。
Rough set theory can remove redundant information in the data to achieve optimal testing points and characteristics of the parameters.
粗糙集理论可以挖掘数据中的冗余信息，实现实验测点和特点参量的优化；
The proof for this statement (which can again be carried out in ZF set theory) is included in the article on ideals.
这个陈述的证明（它可以在ZF集合论内得出）包含关于理想的文章内。
To avoid the subjectiveness of experts in extracting diagnosis rules, rough set theory is introduced into extracting diagnosis rules.
为了克服专家在诊断规则提取时的主观性，把粗糙集理论引入诊断规则提取之中。
This thesis in the light of fuzzy set theory makes an initial probe into semantic fuzziness.
本文正是以模糊集理论为主导对语义的模糊性进行初步地研究。
In rough set theory, data reduction is a very important issue, it includes attributes and attribute values reduction.
在粗糙集理论中，数据约简是一个非常重要的研究课题，它包括属性约简与属性值约简。
The applications of the fuzzy set theory in scheme optimization of type selecting design of hydraulic turbine is discusses.
本文将模糊集理论应用于水轮机选型设计中的方案优化。
For improving, applying rough set theory, analyses the test paper, and discovers both redundance and significant level information.
为此，运用粗糙集理论对试卷进行分析，揭示隐藏其中的冗余信息和重要度信息。
From the relation, the reduction of attributes for the decision table is conducted by applying the rough set theory to gain decision rules.
利用该关系和粗糙集理论，对决策表进行属性约简，获得决策规则；
Comprises useful routines for machine learning in general and for rough set theory in particular.
它由许多用于通用机器学习和粗糙集理论的例程组成。
The user feature extraction algorithmic in this paper reference from attribute reduction and decision rule extraction of rough set theory.
本文中用户行为特征提取算法的设计主要借鉴了粗糙集理论中的属性约简与规则提取的思想。
The determination of feature core may be significantly contributory to solve the problem of feature reduction in rough set theory.
属性核的确定对解决粗集理论中的属性约简问题具有重要的意义。
Zadeh proposed by the fuzzy set theory which can provide an effective method for the complex and sick system.
扎德提出的模糊集合理论为不能用精确数学模型表达的复杂或病态系统提供了一种有效的建模方法。
Rough set theory is an useful tool to process inaccurate data, reduction is an important concept in rough set.
粗糙集理论是处理模糊和不确定知识的一种重要工具，约简是它的核心方法之一。
We design and implement diagnostic system for rough set theory spleen deficiency syndrome differentiation.
并在此基础上设计和实现了粗糙集理论脾虚证辩证分型诊断系统。
Some of its strangest aspects first came to light in the late 1800s, with Georg Cantor's groundbreaking work on "set theory. "
它身上一些奇怪的属性最初在19世纪末被发现，源于康托对“集论”的开创性研究。
The decision table was established by the rough set theory to make the knowledge reduced and determine the relevant evaluating indexes.
通过建立决策表并进行知识约简，确定相应的评价指标，利用各评价指标的重要度计算出相应的权值。
In general, supplier selection problems adhere to uncertain and imprecise data, and fuzzy-set theory is adequate to deal with them.
通常，供应者选择问题坚持不确定和不精确的数据，并且模糊集合论足够与他们交易。
The concepts of synthesis source and field in synthesis reasoning were introduced into decision systems in rough set theory.
将综合推理中的综合源和场引入到粗糙集理论的决策系统中。
Discretization of continuous attributes is the key step in processing continuous problem with rough set theory.
连续属性离散化是基于粗糙集的数据挖掘中的关键问题。
Firstly, customer demand and production index of make-to-order company were proposed and simplified with rough set theory.
构建了客户需求和订单型企业产能绩效指标体系，利用粗糙集理论对其进行约简。
Attribute reduction, a basic conception in rough set theory, is introduced at first, then applied to forestry information management.
本文介绍了粗糙集理论基本内容属性约简，并将其应用在林业信息管理中，通过实例说明提高数据分析能力的方法。
Rough set theory, a new effectiveness evaluation theory, is used to evaluate the effectiveness of satellite navigation systems.
为了对卫星导航系统进行效能评估，提出了一种新的效能评估方法-粗糙集理论。
All of these have shown how to make use of the Rough Set theory to make valuable information for the management decision in the enterprise.
由此说明如何运用粗糙集方法为企业的管理决策提供有价值的信息。
Rough set theory is a new mathematical analysis method processing fuzzy and uncertainty knowledge.
粗糙集理论是一种新的处理模糊和不确定性知识的数学分析处理理论。
