International Journal of
Information and Education Technology

Editor-In-Chief: Prof. Jon-Chao Hong
Frequency: Monthly
ISSN: 2010-3689 (Online)
E-mali: editor@ijiet.org
Publisher: IACSIT Press
 

OPEN ACCESS
3.9
CiteScore

IJIET 2013 Vol.3(2): 147-150
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.

Keywords

  • Cloud computing
  • genetic algorithms
  • rough set theory
  • web services
253-IT0016

How to Cite

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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. https://doi.org/10.7763/IJIET.2013.V3.253

Copyright & License

Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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