概念格是数据分析的一种有力工具。
方法面向属性概念格理论。
概念格自动布局的方法和相关的数学描述。
The Methodology of the automatic layout of the concept lattice and corresponding mathematic model.
最后提出一种基于粒度和概念格的知识发现模型。
The KDD model based on the granularity and concept lattice is proposed at last.
提出了一种基于概念格的模块划分及耦合分析方法。
This paper presents a method for module partition and coupling measurement based on concept lattice.
以概念格为工具，讨论数据扩展引起的相容性问题。
We discuss the problem of consistence arose from data enlargement in this paper.
概念格是近年来获得飞速发展的数据分析的有力工具。
Concept lattice is recently fast developed as a tool for data analysis and rule exaction.
在概念格的应用过程中，造格算法具有很重要的地位。
The lattice construction algorithm plays a very important role in the application of concept lattice.
此算法的优点是生成新节点的范围小，构建概念格的速度快。
Advantage of the algorithm is that scope of generating new nodes is small, and concept lattice is quickly constructed.
基于信息概念格，给出了信息形式背景下协调集的判定定理。
Judgment theorems of consistent set in information formal context based on information concept lattices are dealt with in this paper.
现在概念格的渐进式构造算法表现出了更强的生命力和适应性。
At present, the incremental formation algorithm of concept lattice has behaved strong vitality and flexibility.
第二部分利用变精度概念格研究不同精度下的模糊概念格约简。
Secondly, we studies the reduction of a fuzzy concept lattice in a fuzzy context by employing the variable precision concept under various precisions.
研究在给定的形式背景下，通过逐步添加属性建造概念格的方法。
In a fixed formal context, the method to construct concept lattice by adding attributes step by step is investigated.
形式背景；形式概念；合成；面向对象概念格；面向属性概念格。
Formal contexts; formal concept; combination; object oriented concept lattices; property oriented concept lattices.
给出了网格、资源的形式概念定义，构造了网格资源模糊概念格。
The formal concept definitions of grid and resource are given and the fuzzy concept lattice for the grid resources is constructed.
给出了网格、资源的形式概念定义，建立了网格资源实概念格模型。
The formal concept definitions of Grid and resource are given and the Grid resource real concept lattice model is proposed.
随着处理的形式背景的增大，构造概念格的时空复杂度也会随着急剧增大。
With the increase of formal contexts, the time and space complexity of building concept lattice will sharply increase.
首先，模糊形式概念分析将模糊逻辑嵌入形式概念分析以构成模糊概念格。
First, fuzzy formal concept analysis introduces the fuzzy logic into formal concept analysis to construct fuzzy concept lattice.
在上述研究工作的基础上，实现了基于多扩展概念格的分类知识发现原型系统。
Based on the work stated above, a prototype system that can utilize multi-extending concept lattice classification knowledge discovery in database is implemented.
介绍了概念格的数学基础，包括与概念格模型相关的序论和格论中的一些定义。
Introduce the mathematical foundations of the concept lattice and some definitions in lattice theory as same as concept model related order theory.
证明了所有新节点在原概念格中的直接父节点，只可能在某个节点和它的子节点中。
It is proved that immediate predecessor of all new nodes is only one of a node or successors in old concept lattice.
本文研究基于对象定向概念格和属性定向概念格协调决策形式背景属性约简的问题。
Basing on the object oriented concept lattice and the attribute oriented concept lattice, this paper deals with approaches to attribute reduction in consistent decision formal context.
本文主要对基于概念格模型的知识发现进行研究，并对经典概念格模型进行了扩展。
This paper mainly focuses on knowledge discovery based on concept lattice, and extended concept lattice model.
结论推广了已知结果，易于获得复杂形式背景的面向属性概念格，从而更有利于知识发现。
Conclusion This results will simplify the construction of concept lattices and facilitate the process of knowledge discovery, especially for large and complex formal contexts.
约束概念格是一种新的概念格结构，具有构造效率高、提取知识针对性和实用性强等特点。
Constrained concept lattice, with characteristics of higher constructing efficiency, practicability and pertinency, is a new concept lattice structure.
频繁加权概念格是一种特殊的加权概念格，其所有结点都是频繁结点，即满足用户阈值的结点。
Frequent weighted concept lattice is a kind of special weighted concept lattice, whose nodes are all frequent, namely, each satisfies the threshold given by the users.
采用剪枝技术来消除构造过程中存在的冗余内涵比较，给出约束概念格渐进式构造算法PCCL。
An incremental construction algorithm named PCCL of the constrained concept lattice was presented by using pruning technology that eliminated the redundant information in the construction process.
采用剪枝技术来消除构造过程中存在的冗余内涵比较，给出约束概念格渐进式构造算法PCCL。
An incremental construction algorithm named PCCL of the constrained concept lattice was presented by using pruning technology that eliminated the redundant information in the construction process.
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