n this paper, we propose the expert recommendation method for KMS. Since consulting experts in the organization is considered as a useful way of sharing tacit knowledge, it is required to find an expert effectively. We have presented the expert recommender system to assist users to find the experts in KMS. The proposed system is oriented to users who receive recommendations about the expert that could be fulfilling the knowledge needs for them. The system identifies the user knowledge needs by analyzing the rated documents and then filters the expert in the system to the user. The fuzzy linguistic method has been applied in order to construct the expert profile and classify the training documents objectively and correctly. At the same time, the users–system interaction and the interpretability of the system activities are improved. The proposed expert recommendation method is applied to ‘‘knowledge management system in aircraft industry company”, which we developed to test its applicability and practicality. The experimental results show great user satisfaction with the received recommendations.