The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Cooperative Multi-Agent Approach-Based Clustering in Enterprise Resource Planning
|
|
Author(s): 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)and Merouane Zoubeidi (Smart Laboratory, University of Biskra, Biskra, Algeria)
Copyright: 2015
Volume: 6
Issue: 1
Pages: 12
Source title:
International Journal of Knowledge and Systems Science (IJKSS)
Editor(s)-in-Chief: Van Nam Huynh (JAIST, Japan)
DOI: 10.4018/ijkss.2015010103
Purchase
|
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.
Related Content
|
Trung-Nghia Phung, Duc-Binh Nguyen, Ngoc-Phuong Pham.
© 2024.
16 pages.
|
|
Kanokwan Singha, Parthana Parthanadee, Ajchara Kessuvan, Jirachai Buddhakulsomsiri.
© 2024.
14 pages.
|
|
Piyanee Akkawuttiwanich, Pisal Yenradee, Narudh Cheramakara.
© 2024.
26 pages.
|
|
Waranyoo Thippo, Chorkaew Jaturanonda, Sorawit Yaovasuwanchai, Charoenchai Khompatraporn, Teeradej Wuttipornpun, Kulwara Meksawan.
© 2024.
28 pages.
|
|
Porferio Almerino Jr., Marilou Martinez, Rogelio Sala Jr., Kent Maningo, Lourdes Garciano, Christine Catyong, Marvin Guinocor, Gerly Alcantara, John de Vera, Veronica Calasang, Randy Mangubat, Larry Peconcillo Jr., Emerson Peteros, Charldy Wenceslao, Rica Villarosa, Lanndon Ocampo.
© 2024.
23 pages.
|
|
Porntip Junsang, Chorkaew Jaturanonda, Teeradej Wuttipornpun, Mayurachat Watcharejyothin.
© 2023.
25 pages.
|
|
Supanat Sukviboon, Pisal Yenradee.
© 2023.
23 pages.
|
|
|