A Cooperative Multi-Agent Approach-Based Clustering in Enterprise Resource Planning

Nadjib Mesbahi, Okba Kazar, Saber Benharzallah and Merouane Zoubeidi
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Nadjib Mesbahi: Smart Laboratory, University of Biskra, Biskra, Algeria
Okba Kazar: Smart Laboratory, University of Biskra, Biskra, Algeria
Saber Benharzallah: Smart Laboratory, University of Biskra, Biskra, Algeria
Merouane Zoubeidi: Smart Laboratory, University of Biskra, Biskra, Algeria

International Journal of Knowledge and Systems Science (IJKSS), 2015, vol. 6, issue 1, 34-45

Abstract: With the rapid development of information technology and the gradual extension of information technology to enterprise, enterprise resource planning system has become a tool that enables uniform and consistent management of information system (IS) of the company with a large single database. In addition, knowledge discovery is a technology whose purpose is to promote information and knowledge extraction from a large database. This paper proposes a cooperative multi-agent approach based clustering in enterprise resource planning for extract unknown knowledge in the enterprise resource planning database. To achieve this, the authors call the paradigm of multi-agent system to distribute the complexity of several autonomous entities called agents, whose goal is to group records or observations on similar objects classes using the clustering technique. This will help business decision-makers to take good decisions and provide a very good response time by the use of multi-agent system. To implement the proposed architecture, it is more convenient to use the JADE platform while providing a complete set of services and agents comply with the specifications FIPA.

Date: 2015
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