TITLE

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

AUTHOR(S)
Haiwang Cao; Chaogai Xue
PUB. DATE
April 2012
SOURCE
Journal of Software (1796217X);Apr2012, Vol. 7 Issue 4, p798
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
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.
ACCESSION #
76109686

 

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