ANOTHER APPROACH FOR FUZZY NAIVE BAYES APPLIED ON ONLINE TRAINING ASSESSMENT IN VIRTUAL REALITY SIMULATORS

Abstract

Training systems based on virtual reality areused in several areas of human activities. The user isimmersed into a virtual world to have realistic training andrealistic interactions with that world. In some kinds oftraining it is important to know the user's skills. An onlineassessment system allows to the user improve his learningbecause it can identify, immediately after the training, wherehe committed mistakes or presented low efficiency. In thispaper, it was used an another approach for Fuzzy NaiveBayes proposed by Störr, for online training assessmentbased on a for modeling and classification of simulation inN pre-defined classes. Fuzzy Naive Bayes is a generalizationof probabilistic networks, specifically Bayesian Networks,which each variable takes linguistic values and they aredefined as fuzzy sets. Over them, it is computed a fuzzypartition over continuous variables.Index Terms - Assessment, Fuzzy Naive Bayes, OnlineTraining Assessment, Medical Training, Virtual Reality.