Volume 6 Number 11 (Nov. 2011)
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JSW 2011 Vol.6(11): 2178-2183 ISSN: 1796-217X
doi: 10.4304/jsw.6.11.2178-2183

Research on Approximate Reconfiguration of Enterprise Information System based on Formal Representation

Haiwang Cao1, Chaogai Xue2, Lili Dong2
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 a new approach to formal representation and approximate reconfiguration of enterprise information system (EIS) based on object-based knowledge mesh (OKM) and information transfer relationship mesh (ITRM). To this end, new concepts of OKM and ITRM as well as their formal descriptions are proposed. Then, taking into consideration the approximation of modules in EIS, the reconfiguration element is defined, including its approximate matching degree. Furthermore, based on the operations of OKM and its approximate measurement, the formal representation method of information systems, reconfiguration algorithms based OKM and approximate matching, and mapping relationships between OKM and the information system, are explored. The rules in the reconfiguration and pre-processing rules are also studied. Finally, the approximate reconfiguration method based on OKM and ITRM is exemplified by the reconfiguration of the management information system (MIS) software used by an enterprise, which indicates the method to be very effective.

Index Terms—Object-based knowledgeable mesh, Information Transfer Relationship Mesh, Approximate Reconfiguration, Reconfiguration Rules


Cite: Haiwang Cao, Chaogai Xue, Lili Dong, "Research on Approximate Reconfiguration of Enterprise Information System based on Formal Representation," Journal of Software vol. 6, no. 11, pp. 2178-2183, 2011.

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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