Volume 7 Number 4 (Apr. 2012)
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JSW 2012 Vol.7(4): 798-803 ISSN: 1796-217X
doi: 10.4304/jsw.7.4.798-803

Optimization of Enterprise Information System based on Object-based Knowledge Mesh and Binary Tree with Maximum User Satisfaction

Haiwang Cao1 and Chaogai Xue2
1Department of Electronic and Communication Engineering, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China
2Department of Management Engineering, Zhengzhou University, Zhengzhou, China

Abstract—This paper deals with an approach to the optimization of enterprise information system(EIS) based on the object-based knowledge mesh (OKM) and binary tree. Firstly, to explore the optimization of EIS by the user’s function requirements, an OKM expression representation based on the user’s satisfaction and binary tree is proposed. Secondly, based on the definitions of the fuzzy function-satisfaction degree relationships on the OKM functions, the optimization model is constructed. Thirdly, the OKM multiple set operation expression is optimized by the immune genetic algorithm and binary tree, with the steps of the OKM optimization presented in detail as well. Finally, the optimization of EIS is illustrated by an example to verify the proposed approaches.

Index Terms—enterprise information system, optimization, user satisfaction degree, object-based knowledge mesh, binary tree

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Cite: Haiwang Cao and Chaogai Xue, "Optimization of Enterprise Information System based on Object-based Knowledge Mesh and Binary Tree with Maximum User Satisfaction," Journal of Software vol. 7, no. 4, pp. 798-803, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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