文章基本信息

标题：Optimization of Enterprise Information System based on Object-based Knowledge Mesh and Binary Tree with Maximum User Satisfaction
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作者：Cao, Haiwang ; Xue, Chaogai
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2012
卷号：7
期号：4
页码：798-803
DOI：10.4304/jsw.7.4.798-803
语种：English
出版社：Academy Publisher
摘要：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.
关键词：enterprise information system;optimization;user satisfaction degree;object-based knowledge mesh;binary tree