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1)  formal concept analysis
形式化概念分析
1.
An approach to the formal concept analysis driven by use case is then presented based on the proposed framework,with the aim of conversely recovering the crosscutting attributes on the level of requirement models.
为解决软件遗产系统中横切特性的理解和进化问题,提出了面向侧面的逆向工程框架模型,并以此为基础给出了一种用例驱动的形式化概念分析方法,对需求分析模型层面上的系统横切特性进行逆向恢复。
2.
This paper gave a new solution: an algorithm based on formal concept analysis.
基于此,提出了一种利用形式化概念分析的XMLSchema映射算法。
3.
Based on it,an approach to use case driven formal concept analysis is discussed.
为解决软件遗产系统中横切特性的理解和进化问题,提出了面向侧面(aspect-oriented)的逆向工程框架模型,并以此为基础给出了一种用例驱动的形式化概念分析方法,对需求分析模型层面上的系统横切特性进行逆向恢复。
2)  formal concept analysis
形式概念分析
1.
Research on HowNet based on formal concept analysis and concept similarity;
知网的形式概念分析及概念相似度研究
2.
The application of formal concept analysis in CBR;
形式概念分析在基于事例推理中的应用
3.
Management and Retrieval of Web Services Based on Formal Concept Analysis;
基于形式概念分析的Web服务管理及检索技术
3)  formal concept analysis(FCA)
形式概念分析
1.
Formal Concept Analysis(FCA) is a method for data analysis,knowledge representation and information management.
本文在系统介绍无线传感器网络的特点、形式概念分析和概念格的基础上,提出了用最低的能量消耗来监控最多的区域以延长无线传感器网络寿命的主要措施。
2.
The article described the detailed solutions of ontology building and merging with method of formal concept analysis(FCA).
描述了采用形式概念分析方法来构建与合并本体的详细解决方案,有效地弥补了已有本体构建与合并方法的不足。
4)  FCA
形式概念分析
1.
This paper first proposed grid resource management strategies by employing fuzzy concept lattice and fuzzy concept trie and combined FCA theory with grid resource management technology based on studing and summarizing existing results.
在研究总结了现有成果的基础上,首次提出了模糊概念格和模糊概念trie树的网格资源管理策略,将形式概念分析理论和网格资源管理技术进行了有机结合。
2.
This paper first proposes Grid resource management strategies by employing real concept lattice and real concept Trie and combines FCA theory with Grid resource management technology.
首次提出了实概念格和实概念Trie树的网格资源管理策略,将形式概念分析理论和网格资源管理技术进行了有机的结合。
5)  Formal Concept Analysis (FCA)
形式概念分析(FCA)
6)  fuzzy formal concept analysis
模糊形式概念分析
1.
The theory of fuzzy formal concept analysis is therefore introduced,which combines the fuzzy theory proposed by Zadeh with the theory of formal concept analysis.
针对在许多应用领域中,大多数信息都是复杂的、不确定的,而传统的形式概念分析不能表达这些模糊的、不确定的信息问题,介绍了将Zadeh的模糊数学理论与形式概念分析理论相结合所形成的模糊形式概念分析理论。
2.
To further cope with information redundancy associated with FCA method and to improve the accuracy of concept abstraction,the fuzzy formal concept analysis(FFCA) ontology learning technology is introduced,which can fully explore the distributed property of data in DVSM and specialize in solving issues like ontology continuity,ontology relations obtainment,etc.
在此模型的基础上,引入模糊形式概念分析(fuzzy formal concept analysis,FFCA)本体学习技术。
补充资料:公理化方法(见公理化和形式化)


公理化方法(见公理化和形式化)
axiomatical method

  gongllbuafangfa公理化方法化和形式化。(axiomatieal method)见公理
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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