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

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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.