A Hybrid Training Course Recommender System using Case-based Reasoning and Fuzzy Logic

In this study, firstly two challenges ahead of SMEs in doing need assessment & educational planning are considered. Then the issue of finding and selecting training courses is elaborated. Afterwards, a system of recommending training courses using case-based reasoning and Fuzzy Model is presented in order to identify the need assessment of firms as well as planning a suitable curriculum. The case-based reasoning is based on this principle that similar problems have similar solutions. In the knowledge base (case base) of this methodology in which the information & records of the past are gathered as cases, helps to collect & maintain the experts' knowledge in the proposed system. In this system, the Fuzzy model has been used to cope with the ambiguities & uncertainties in case representation and retrieval phase. EFQM (European Foundation for Quality Management) is applied for case modeling. Besides, in order to overcome the cold start problem, a module that is called SMART (Supplementary Module to Accomplish Recommending Task) has been used in which infer as an expert. Finally, this system is evaluated and the results are reported.