A WEB BASED INTELLIGENT PERSONALISED RECOMMENDER SYSTEM FOR PERSONNEL TRAINING NEEDS

Abstract

For many years, there have been different learning challenges within organizations; one of them is the identification of training needs of employees in the organisation. Most employees fail to do their jobs efficiently and effectively because they lack up-to-date skills and knowledge which directly or indirectly affects the overall performance of the organisation. Hence, the need to identify the training needs of the different employees in the organisation and to consistently train and re-train them till an all-rounded employee situation is achieved. A web-based recommender system that recommends training courses to employees was developed using the multi criteria method based on the use of specific criteria to rate these employees. Weights are assigned to the criteria to determine the importance of the criteria for ranking. Fuzzy TOPSIS is used to rank employees who require training. The employees are ranked according to the closeness coefficient in decreasing order. The best employee for the training need is the closest to the Fuzzy Ideal Positive Solution (FPIS) and farthest from the Fuzzy Negative Ideal Solution (FNIS).