Secondly, a system of constructing fuzzy concept lattice is implemented.
其次，实现模糊概念格的构建系统。
The KDD model based on the granularity and concept lattice is proposed at last.
最后提出一种基于粒度和概念格的知识发现模型。
Concept lattice formally defined the concepts and the relationships between them.
概念格形式化地定义了概念以及概念之间的关系。
The reduction algorithm of formal context that corresponding to concept lattice is extended.
对概念格对应的形式背景约简的算法加以扩展。
The Methodology of the automatic layout of the concept lattice and corresponding mathematic model.
概念格自动布局的方法和相关的数学描述。
This paper presents a method for module partition and coupling measurement based on concept lattice.
提出了一种基于概念格的模块划分及耦合分析方法。
The lattice construction algorithm plays a very important role in the application of concept lattice.
在概念格的应用过程中，造格算法具有很重要的地位。
This paper mainly focuses on knowledge discovery based on concept lattice, and extended concept lattice model.
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。
At present, the incremental formation algorithm of concept lattice has behaved strong vitality and flexibility.
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。
Rough concept lattice is a knowledge base which is expressed as rough concepts and the relationships between them.
粗糙概念格是一种表示形式为粗糙概念以及粗糙概念之间关系的知识库。
It is proved that immediate predecessor of all new nodes is only one of a node or successors in old concept lattice.
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。
Concept lattice is a powerful tool for concept discovery from data, used to extract hidden knowledge pattern in data.
而概念格正是从数据中进行概念发现的有力工具，用来发现数据中隐藏的知识模式。
In a fixed formal context, the method to construct concept lattice by adding attributes step by step is investigated.
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。
With the increase of formal contexts, the time and space complexity of building concept lattice will sharply increase.
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。
Advantage of the algorithm is that scope of generating new nodes is small, and concept lattice is quickly constructed.
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。
The formal concept definitions of Grid and resource are given and the Grid resource real concept lattice model is proposed.
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。
First, fuzzy formal concept analysis introduces the fuzzy logic into formal concept analysis to construct fuzzy concept lattice.
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。
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，构造了网格资源模糊概念格。
The data studied by concept lattice theory and rough set theory are expressed by information system and formal context respectively.
粗糙集理论的数据表现方式是信息系统，其研究基础是对象之间的等价关系；
These results as well as their application and promotion in concept lattice expansion model will have a very good prospects and value.
这些成果的应用及其在概念格扩展模型中的推广有着非常好的前景和价值。
The incremental algorithm use a tree structure to organize the set of concept nodes, and decrease the time needed to build concept lattice.
本文的渐进式算法利用一种树状结构来对概念格节点进行索引，从而有效地提高了概念格的构造速度。
This paper proposed functions, algorithm, flows, processes, interface design and result of the query expansion system based concept lattice.
本文给出了概念格查询扩展的功能、算法、流程、步骤、界面设计及数据分析等。
Introduce the mathematical foundations of the concept lattice and some definitions in lattice theory as same as concept model related order theory.
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。
Secondly, we studies the reduction of a fuzzy concept lattice in a fuzzy context by employing the variable precision concept under various precisions.
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。
Constrained concept lattice, with characteristics of higher constructing efficiency, practicability and pertinency, is a new concept lattice structure.
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。
Through some theoretical analysis, it is shown that the proposed algorithm can reduce the storage and time complexity of concept lattice construction process.
理论分析表明，该算法能有效地减少概念格的存储空间和建格时间。
Based on the work stated above, a prototype system that can utilize multi-extending concept lattice classification knowledge discovery in database is implemented.
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。
With the combination of attribute reduction in concept lattice, the model provides users with a semantic matching model based on concept lattice of theoretical value.
结合概念格属性约简等知识，该模型为用户提供一种有价值的基于概念格的语义匹配方法。
With the combination of attribute reduction in concept lattice, the model provides users with a semantic matching model based on concept lattice of theoretical value.
结合概念格属性约简等知识，该模型为用户提供一种有价值的基于概念格的语义匹配方法。
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