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    • Revista IJIMAI
    • 2016
    • vol. 4, nº 2, december 2016
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2016
    • vol. 4, nº 2, december 2016
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    Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

    Autor: 
    Taghezout, Noria
    ;
    Benkaddour, Fatima Zohra
    ;
    Ascar, Bouabdellah
    Fecha: 
    12/2016
    Palabra clave: 
    collaboration; case-based reasoning; agents; diagnosis; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11704
    DOI: 
    http://doi.org/10.9781/ijimai.2016.4211
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2583
    Open Access
    Resumen:
    In spunlace nonwovens industry, the maintenance task is very complex, it requires experts and operators collaboration. In this paper, we propose a new approach integrating an agent- based modelling with case-based reasoning that utilizes similarity measures and preferences module. The main purpose of our study is to compare and evaluate the most suitable similarity measure for our case. Furthermore, operators that are usually geographically dispersed, have to collaborate and negotiate to achieve mutual agreements, especially when their proposals (diagnosis) lead to a conflicting situation. The experimentation shows that the suggested agent-based approach is very interesting and efficient for operators and experts who collaborate in INOTIS enterprise.
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