Title :
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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569273
