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Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (9): 707-720    DOI: 10.1631/jzus.C1000337
    
A fuzzy formal concept analysis based approach for business component identification
Zhen-gong Cai1, Xiao-hu Yang*,1, Xin-yu Wang1, Aleksander J. Kavs2
1 School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China 2 StateStreet Corporation, Boston, MA 02111, USA
A fuzzy formal concept analysis based approach for business component identification
Zhen-gong Cai1, Xiao-hu Yang*,1, Xin-yu Wang1, Aleksander J. Kavs2
1 School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China 2 StateStreet Corporation, Boston, MA 02111, USA
 全文: PDF(829 KB)  
摘要： components by analyzing their properties. However, most of them do not consider the difference in their properties for the business elements, which may decrease the accuracy of the identification results. Furthermore, component identification by partitioning business elements cannot reflect which features are responsible for the generation of certain results. This paper deals with a new approach for component identification from business models using fuzzy formal concept analysis. First, the membership between business elements and their properties is quantified and transformed into a fuzzy formal context, from which the concept lattice is built using a refined incremental algorithm. Then the components are selected from the concepts according to the concept dispersion and distance. Finally, the effectiveness and efficiency are validated by applying our approach in the real-life cases and experiments.
关键词： Business component identification;  Formal concept analysis;  Business model;  Concept clustering;  Fuzzy concept    
Abstract: Identifying business components is the basis of component-based software engineering. Many approaches, including cluster analysis and concept analysis, have been proposed to identify components from business models. These approaches classify business elements into a set of components by analyzing their properties. However, most of them do not consider the difference in their properties for the business elements, which may decrease the accuracy of the identification results. Furthermore, component identification by partitioning business elements cannot reflect which features are responsible for the generation of certain results. This paper deals with a new approach for component identification from business models using fuzzy formal concept analysis. First, the membership between business elements and their properties is quantified and transformed into a fuzzy formal context, from which the concept lattice is built using a refined incremental algorithm. Then the components are selected from the concepts according to the concept dispersion and distance. Finally, the effectiveness and efficiency are validated by applying our approach in the real-life cases and experiments.
Key words: Business component identification    Formal concept analysis    Business model    Concept clustering    Fuzzy concept
收稿日期: 2010-09-27 出版日期: 2011-09-09
CLC:  TP311  
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Zhen-gong Cai
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Aleksander J. Kavs

引用本文:

Zhen-gong Cai, Xiao-hu Yang, Xin-yu Wang, Aleksander J. Kavs. A fuzzy formal concept analysis based approach for business component identification. Front. Inform. Technol. Electron. Eng., 2011, 12(9): 707-720.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1000337    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2011/V12/I9/707

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