Fuzzy sets-based retranslation of numerical data in E-learning

Abstract

Since e-learning is becoming more and more popular, there is a need to improve and widen information techniques that support eteachers. Presently, the automated and intelligent examining procedures are essential for this support. We present the new soft-computing procedures of rating e-tests in German. The clou of this paper is the retranslation algorithm transforming raw numerical data into human consistent terms. The retranslation associated with fuzzy template matching is supposed to be a reliable solution giving satisfactory outputs. The results of the retranslation process are expressed in natural language, which makes them understandable and useful also for technologically non-advanced personnel. © Springer-Verlag Berlin Heidelberg 2005.