CONTINUOUS EVALUATION IN TRAINING SYSTEMS BASED ON VIRTUAL REALITY USING FUZZY RULE BASED EXPERT SYSTEMS

Abstract

The approach of continuous evaluation is an
important tool in the learning process. However, only
recently it was applied in training based on virtual reality.
This paper presents a methodology of evaluation that uses
the continuous evaluation approach to create an user profile
from his several training. This information can be used to
improve the user performance in the execution of the task.
The methodology proposed is given by the union of classical
statistics tools, fuzzy measures and a fuzzy rule based expert
system (FRBES) to construct an individual profile for each
trainee. Statistical tools, fuzzy measures and specific data of
training provide information to the FRBES for the profile
composition throughout training process. This new
approach is a diagnostic tool that enables a trainee to
understand the areas in which he presents difficulties and to
concentrate to solve them.

Index Terms ⎯ Continuous evaluation, fuzzy rule based
expert system, statistical measures, fuzzy measures.