The method is based on the attribute of formal concept analysis.
这种方法是基于形式概念分析属性之上的。
A novel text fuzzy clustering based on formal concept analysis and concept similarity are proposed.
基于形式概念分析和概念相似度，给出了一种新的文本模糊聚类方法。
The formal contexts and concept lattices in formal concept analysis are good methods of knowledge representation.
形式概念分析中的形式背景及概念格是一种较好的知识表示方法；
In information retrieval, the term of doc-keywords relation can be regarded as the context in Formal Concept Analysis.
信息检索中的“文档—特征词”关系能够很自然的被看作形式概念分析中的形式背景。
Concept lattice is a newly prosperous knowledge representation model and is the core data structure of Formal Concept Analysis.
概念格是一种新兴的基于概念的知识表示模型，是形式概念分析的核心数据结构。
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。
A novel multi-context text fuzzy clustering method and its model based on formal concept analysis and concept similarity is proposed.
基于形式概念分析和概念相似度，给出一种新的多背景文本模糊聚类方法和模型。
Absrtact: as an excellent formal concept analysis tool, concept lattice has been applied in data mining, AI, and knowledge extraction.
摘要：概念格作为一种很好的形式化概念分析工具，被应用于数据挖掘、人工智能和知识提取等领域。
The experimental results demonstrate the feasibility of using the formal concept analysis to computer-aided system of syndrome differentiation of TCM.
最后通过一个实例初步说明了将形式概念分析应用于计算机辅助中医辨证体系研究是可行的。
This paper discusses the technique of using formal concept analysis in combination with data model and the data information for ontology construction.
文中探讨了运用形式概念分析的技术，结合数据库模式及其数据，构建本体的方法。
Based on formal concept analysis, contexts are described as a tuple of two sets of conceptual graphs, which are called intention and extension respectively.
借鉴形式概念分析的理论，用二元组表示形式背景，能够体现出形式背景的内涵与外延的统一。
Finally, an example analysis is done to prove the feasibility of concept lattice-based semantic structure matching model with the formal context through the attribute extraction.
最后通过实例进行分析，通过属性抽取算法提炼出形式背景，并验证基于概念格的语义匹配模型的有效性。
The concept lattice is an effective tool for data analysis and rule extraction, but as to the big formal context, some useful information may be submerged by the complex structure of the lattice.
概念格是数据处理和规则提取的重要工具。对于数据较大的形式背景，由于产生的概念格结构复杂，部分有用的信息将被这种复杂的结构所掩没。
Compared with the original concept, the new approach is more formal and can make protocol analysis easier both by hand and automatically.
与原有技术相比，该方法更为形式化，协议分析人员可以很方便地进行手动分析，并且更有利于协议分析自动化工具的实现。
Compared with the original concept, the new approach is more formal and can make protocol analysis easier both by hand and automatically.
与原有技术相比，该方法更为形式化，协议分析人员可以很方便地进行手动分析，并且更有利于协议分析自动化工具的实现。
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