01881nas a2200217   4500000000100000000000100001008004100002260001200043653002300055653001000078653001200088653002700100100002100127700002000148245013500168856008000303300001000383490000600393520125000399022001401649       2021                            d  c06/202110aBusiness Processes10aFuzzy10aK-means10aRecommendation Systems1 aNawal Sad Houari1 aNoria Taghezout00aAn Effective Tool for the Experts' Recommendation Based on PROMETHEE II and Negotiation: Application to the Industrial Maintenance  uhttps://www.ijimai.org/journal/sites/default/files/2021-05/ijimai_6_6_7.pdf  a67-770 v63 aIn this article, we propose an expert recommendation tool that relies on the skills of experts and their interventions in collaboration. This tool provides us with a list of the most appropriate (effective) experts to solve business problems in the field of industrial maintenance. The proposed system recommends experts using an unsupervised classification algorithm that takes into account the competences of the experts, their preferences and the stored information in previous collaborative sessions. We have tested the performance of the system with K-means and C-means algorithms. To fix the inconsistencies detected in business rules, the PROMETHEE II multi-criteria decision support method is integrated into the extended CNP negotiation protocol in order to classify the experts from best to worst. The study is supported by the well known petroleum company in Algeria namely SONATRACH where the experimentations are operated on maintenance domain. Experiments results show the effectiveness of our approach, obtaining a recall of 86%, precision of 92% and F-measure of 89%. Also, the proposed approach offers very high results and improvement, in terms of response time (154.28 ms), space memory (9843912 bytes) and negotiation rounds.  a1989-1660