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Applying FCA toolbox to Software Testing  [PDF]
Fedor Strok
Computer Science , 2015,
Abstract: Software testing uses wide range of different tools to enhance the complicated process of defining quality of the system under test. Formal Concept Analysis (FCA) provides us with algorithms of deriving formal ontology from a set of objects and their attributes. With the use of FCA we can considerably improve the efficiency of test case derivation. Moreover, an FCA-based machine learning system supports the analysis of regression testing results.
fca与本体结合研究的综述  [PDF]
周文 刘宗田 陈慧琼?
计算机科学 , 2006,
Abstract: 本文对近年内形式概念分析(formalconceptanalysis,fca)与本体(ontology)的结合研究进行综述,基于具体的应用来描述它们结合的方式。fca和本体是两种形式化方法,fca和本体的目标都是构建概念的模型,它们各有特点,本文从应用的角度讨论两种工具如何相互补充,描述了fca怎样支持本体工程和本体如何改善fca的应用。
A Survey of the Research about Both FCA and Ontology
FCA与本体结合研究的综述

ZHOU Wen LIU Zong-Tian CHEN Hui Qiong,
周文
,刘宗田,陈慧琼

计算机科学 , 2006,
Abstract: 本文对近年内形式概念分析(Formal Concept Analysis,FCA)与本体(Ontology)的结合研究进行综述,基于具体的应用来描述它们结合的方式。FCA和本体是两种形式化方法,FCA和本体的目标都是构建概念的模型,它们各有特点,本文从应用的角度讨论两种工具如何相互补充,描述了FCA怎样支持本体工程和本体如何改善FCA的应用。
Computation of the Concept Semantic Similarity in FCA
FCA中的概念语义相似度计算

Zhang Xiaoluan Wang Xifeng,
张晓孪
,王西锋

现代图书情报技术 , 2007,
Abstract: Both Formal Concept Analysis (FCA) and domain Ontologies are two kinds of knowledge representations formalisms and their aims are at modeling concepts. This paper proposes a method to compute the similarity between concepts in FCA. The experimental result shows this method is effective for concept similarity computation.
浙 江 干 燥 花 植 物 资 源 研 究  [PDF]
邱迎君,易官美
北方园艺 , 2010, DOI: 10.11937/bfyy.201022074
Abstract:
Research on Amalgamation Mechanism of FCA and Ontology in Knowledge Modeling
Ontology 和 FCA在知识建模中的融合机理研究

Zhang Yunzhong,
张云中

现代图书情报技术 , 2010,
Abstract: 针对Ontology与FCA在知识建模中的融合问题,对比Ontology和FCA之间的异同,从哲学视角、代数结构视角、知识处理与知识管理视角分析Ontology和FCA融合的条件,剖析二者在知识建模过程中的融合机理,最终得出Ontology和FCA在知识建模过程中融合的8个具体方向,为Ontology和FCA在知识建模领域中的融合研究提供启发。
基于fca的folksonomy知识发现机理研究  [PDF]
张云中
图书情报工作 , 2012,
Abstract: ?folksonomy知识发现已成为解决folksonomy自身语义问题和用户问题的有效途径。针对基于fca的folksonomy知识发现的机理,首先探寻当前基于fca的folksonomy知识发现研究的不足,进而在剖析基于fca的folksonomy知识发现要素和要素关系的基础上,用螺旋研究模型揭示基于fca的folksonomy知识发现的客观规律,最终探寻出基于fca的folksonomy知识发现的三个核心内容:folksonomy用户行为、folksonomy用户偏好和folksonomy语义关系。
Computations in DEA
Dulá, José H.;
Pesquisa Operacional , 2002, DOI: 10.1590/S0101-74382002000200005
Abstract: dea is a well-established, widely used, and powerful analytical resource in the toolbox of the or/ms analyst. it is used to assess relative efficiency of many, functionally similar, entities. it has applications in diverse areas including finance and banking, education, and healthcare. dea is computationally intensive and, as the scale of applications grows, this intensity rapidly becomes one of the limiting factors in its utility. in this paper, we explore computations in dea. we investigate the theory behind schemes, procedures and algorithms used in performing a dea study and we report on current practices ranging from the basic and standard to the advanced and sophisticated. our objective is to give researchers and practitioners an appreciation for the computational aspects of dea that will permit them to understand the performance, problems, complications, limitations, as well as the potential of this technique.
Computations in DEA  [cached]
Dulá José H.
Pesquisa Operacional , 2002,
Abstract: DEA is a well-established, widely used, and powerful analytical resource in the toolbox of the OR/MS analyst. It is used to assess relative efficiency of many, functionally similar, entities. It has applications in diverse areas including finance and banking, education, and healthcare. DEA is computationally intensive and, as the scale of applications grows, this intensity rapidly becomes one of the limiting factors in its utility. In this paper, we explore computations in DEA. We investigate the theory behind schemes, procedures and algorithms used in performing a DEA study and we report on current practices ranging from the basic and standard to the advanced and sophisticated. Our objective is to give researchers and practitioners an appreciation for the computational aspects of DEA that will permit them to understand the performance, problems, complications, limitations, as well as the potential of this technique.
基于FCA与CBR的设计模式检测
Design patterns detection based on FCA and CBR
 [PDF]

肖卓宇,何锫,余波,黎妍,胡振涛
XIAO Zhuoyu
, HE Pei, YU Bo, LI Yan, HU Zhentao

- , 2016, DOI: 10.6040/j.issn.1672-3961.1.2015.046
Abstract: 摘要: 以一个精确可靠的设计模式检测模型为目标,结合形式概念分析(formal concept analysis, FCA)与实例推理(case based reasoning, CBR)技术,提出一种基于更完整问题描述的改进技术模型,通过FCA与余弦理论思想计算特征指标与相近案例的相似性值Score,对其结果进行优先级排序,并取得最优选择之后,将其匹配的特征结果存储到学习模型的保存过程阶段。最后,给出一种基于平均精度MAP的性能评估方法模型。试验结果表明,该检测模型较传统的检测模型在性能上有较大改进。
Abstract: Aiming to obtain the accurate and reliable detecting model of design patterns that fusion formal concept analysis(FCA)techniques and case cased reasoning(CBR), a novel refinement technique based on more complete software problem description was proposed. Indexes and cases similarity score value was calculated by FCA and Cosine theory. The results of the priority achieved optimal choices, the new knowledge for the retention process phase of the learning model was provided. An approach based on mean average precision(MAP)to assess the performance was proposed. Finally, the experimental results showed that the presented model had more detecting ability in term of MAP comparing to the traditional models
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