Research on IT resources fuzzy C-mean clustering based on Resource Based View

Author

Yang, Yuntao ; Wang, Runxiao ; Li, Junting

Author_Institution

Sch. of Mechatron. Eng., Northwestern Polytech. Univ., Xi´´an, China

Volume

6

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

2895

Lastpage

2899

Abstract

Enterprise Resource Based View (RBV) provides theoretical basis for research of sustainable competitive advantage of IT resources. This paper analyzed the relationship between IT resources and sustained competitive advantage of enterprises, and the choices of IT resources clustering index. IT resources fuzzy clustering model has been constructed. The Fuzzy C-Mean Clustering (FCM) algorithm based on rough set theory has been improved. Finally, the feasibility and effectiveness of the clustering method has been proved by examples.

Keywords

enterprise resource planning; fuzzy set theory; pattern clustering; rough set theory; FCM algorithm; IT resources fuzzy c-mean clustering; enterprise resource based view; rough set theory; Algorithm design and analysis; Biological system modeling; Business; Clustering algorithms; Humans; Indexes; Information technology; IT resources; fuzzy c-mean clustering; resource based view; sustained competitive advantage;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5931-5

Type

conf

DOI

10.1109/FSKD.2010.5569273

Filename

5569273