This paper researches attributes reduction of Rough Set Theory.
本文主要研究基于粗集理论的属性约简算法。
Attributes reduction was one of the key problems in rough set theory.
属性约简是粗糙集理论的核心内容之一。
Connecting the improved attributes reduction algorithm with other algorithms.
将属性约简算法与其他算法结合在一起使用。
This paper researches a data mining system based on attributes reduction of rough set theory.
本文主要研究基于粗集属性约简的数据挖掘系统。
Firstly, the attributes reduction algorithm is studied under the incomplete information systems.
首先，研究了在不完备信息系统下的属性约简算法。
Then discusses the attributes reduction based on Rough Set theory and set covering problem to combine them.
然后简单探讨了粗糙集理论的属性约简和集合覆盖问题，从而将二者联系起来。
In this paper, the equivalence of two definitions of attributes reduction in incomplete information system is proved.
本文针对不完备信息系统属性约简的两种定义，证明了两者的等价性。
The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.
知识发现的过程包括时间序列数据预处理、属性约简和规则抽取三部分。
The item of attribute frequency in the scan vector was taken as heuristic information to improve the efficiency of attributes reduction.
以扫描向量中的属性频率项作为属性约简搜索的启发信息，提高了属性约简效率。
This hierarchical reduction approach extends the simple classified attributes reduction to attributes selection and attributes reduction.
该算法使分层递阶约简算法从简单的属性分层处理拓展至属性选择和属性压缩处理。
In the rough set theory and rough-fuzzy set theory, computation of approximations and edge and attributes reduction of decision table is import part of them.
在粗糙集理论及粗糙模糊集理论中，上下近似及边界的求解与决策表属性约简是它们的核心内容。
This paper proposes the concept of the decision table of the attributes reduction, and gives the method of the reducing attributes based on discernibly vector.
文章提出了决策表的区分向量的概念，并给出了利用区分向量进行属性约简的方法。
The minimum attributes reduction set is expected to acquire the brief regulated set. This is taken as NP-hard Problem, which can be figured out through the heuristic algorithm.
为了获得简明的规则集，通常希望能找出最小的属性约简集，而求解最小约简是NP难问题，解决此类难题通常采用启发式算法以求得近似最优解。
In this paper, we propose a new attributes reduction algorithm based on the significance of attribute dependencies as heuristic information and add a certain variable precision.
粗糙集理论是一种新的数据挖掘算法，文章以属性依赖重要性作为启发信息提出了一种新的属性约简算法，且加入了一定的分类正确度。
Information reduction method is given, in which includes RS knowledge modeling, RS decision logic expression, distinction matrix making, cores calculation, attributes reduction, rules generation, etc.
给出了数据约简方法，包括建立RS知识模型、RS决策逻辑表示、确定辨识矩阵、计算其核心、进行属性归约、规则形成等内容。
Using the algorithm, system can collect customers' attributes data and eliminate redundant data attributes from emporium marketing database by pretreatment, data reduction and other steps.
利用该算法，通过预处理、数据约减等步骤从商场营销数据库中收集顾客属性数据，消去多余数据属性。
It includes the proposing of the theory, some relevant fundamental concepts, the reduction of data and attributes, KRS, decision analysis, and the reduction of decision rules.
包括理论的提出，一些基本的概念，数据的约简，知识表达系统，属性的约简，决策逻辑和决策规则最小化等。
Reduction of attributes is one of the major concerns in the field of data mining.
属性约简是数据挖掘领域中的核心内容之一。
This paper gives the judgement theorems of consistent set and characters of attributes in consistent decision formal context and provides an algorithm to explore the reduction.
该文在协调决策形式背景下给出了协调集及属性特征的判定定理，并在此基础上得到了一种求属性约简的方法。
In this thesis, data reduction and the reduction of attributes is discussed and studied.
本论文对数据缩减技术以及属性维的数据缩减技术进行了初步的探讨和研究。
Secondly, during reduction of attribute values, some irrelevant attributes are further eliminated, then abstractation of personalized decision rules is accomplished.
然后在属性值约简中进一步去除与用户无关的属性，从而抽取个性化决策规则。
Then, considering the practical requirements of team combat, a method for reduction of attribute-values under single decision attribute is extended to the reduction under multi-decision attributes.
并将单一决策属性下的属性值约简方法推广，讨论了更适于编队作战分析的多决策属性下的属性值约简问题。
That using the reduction attributes of rough set reduced some redundant attributes, improved the real time of data processing by support vector machine, and shorten the time for training sample.
利用粗糙集的属性约简性来约简掉一些冗余属性，提高了支持向量机进行数据处理的实时性，缩短了训练样本的时间。
By using attribute reduction rule, it can distinguish the redundant knowledge and effectively discover key attributes.
应用属性约简规则处理数据可有效识别冗余知识，找出关键属性；
The hierarchical reduction algorithms are then presented for both the information system with and without core attributes.
进一步给出了有核信息系统与无核信息系统的分层约简算法。
Attribute reduction of information system is to remove superfluous attributes from information systems while preserving the consistency of classifications the original system provides.
信息系统的属性约简反映了一个决策表的本质信息，为信息系统的数据挖掘奠定的基础。
The data are reduced using the concept lattice attribute reduction method, and thus the core attributes, relative necessary attributes and unnecessary attributes for fault diagnosis are obtained.
利用概念格的属性约简方法，进行了属性的约简处理，得出用于故障诊断的核心属性、相对必要属性和不必要属性。
The data are reduced using the concept lattice attribute reduction method, and thus the core attributes, relative necessary attributes and unnecessary attributes for fault diagnosis are obtained.
利用概念格的属性约简方法，进行了属性的约简处理，得出用于故障诊断的核心属性、相对必要属性和不必要属性。
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