Fuzzy Continuous Evaluation in Training Systems Based on Virtual Reality
Ronei Marcos de Moraes, Liliane dos Santos Machado · European Society for Fuzzy Logic and Technology Conference · 2009
The approach of continuous evaluation is an important methodology in educational learning process. However, only recently it was applied in training based on virtual reality. This paper presents a methodology of evaluation that uses a fuzzy continuous evaluation approach to provide a user profile from his several training. This information can be used to improve the user performance in the real execution of a task. The methodology proposed is given by the union of fuzzy statistical measures, fuzzy statistics and fuzzy parameters (fuzzy testing of hypothesis and fuzzy regression models) as input for a fuzzy rule based expert system (FRBES). The FRBES is able to construct an individual profile for each trainee. This new approach is a diagnostic tool that enables a trainee to understand the areas in which he presents difficulties, allowing him to concentrate on improving skills related to them. Keywords— Continuous evaluation, fuzzy rule based expert system, fuzzy statistics, fuzzy measures, fuzzy regression models.