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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2013 Vol.3(2): 147-150 ISSN: 2010-3689
DOI: 10.7763/IJIET.2013.V3.253

The Genetic Algorithm Incorporates with Rough Set Theory – An Application of the CloudERP Composition

Wen-Yau Liang

Abstract—Cloud computing enables many applications of Web services and rekindles the interest of providing ERP services via the Internet. This paper defines a CloudERP platform on which enterprise customers can select web services and customize a unique ERP system to meet their specific needs. A system prototype was built on the Google App Engine platform to verify the proposed composition process. Based on experimental results from running the prototype, the composition method works effectively and has great potential for supporting a fully functional CloudERP platform.

Index Terms—Cloud computing, genetic algorithms, rough set theory, web services.

W. Y. Liang is with the Department of Information Management, National Changhua University of Education, Taiwan, ROC (e-mail: wyliang@cc.ncue.edu.tw).

[PDF]

Cite: Wen-Yau Liang, "The Genetic Algorithm Incorporates with Rough Set Theory – An Application of the CloudERP Composition," International Journal of Information and Education Technology vol. 3, no. 2, pp. 147-150, 2013.

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