SUMMARY
Advances in networks, computers and multimedia technology have changed traditionalmethods for learning and skills training. Nowadays, Virtual Environments for Training (VET) havebeen popular, they can provide an environment where virtual reality can be used to createinteractive interfaces and real-time software that can control every response and action madeby the user. VET have proven to be advantageous to put learners into varied trainingsituations to acquire knowledge and competencies, especially when these situations are taking place in uncontrolled circumstances, or when they are dangerous, unrealizable, or expensive to establish in reality. However individual learners find it difficult to select suitablelearning situations for their particular situation because often, there is no personalized serviceto response to the user needs. Personalization of learning in a VET is a very important way ofimproving the effectiveness and the quality of the training, yet it also a complex process thatrequires consideration of several factors such as learner‘s profiles. The goal is to associatesuitable learning situations to each learner based on his profile.However, personalization of learning becomes an issue with the uncertainty and imprecisionof data that may contains a learner profile. To address this issue, this study is an attempt tointegrate a fuzzy clustering into the process of the personalization of learning.