M. Rosario Vazquez

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This paper presents an extension of Fuzzy De-formable Prototypes (FDPs) based on the use of interval type-2 fuzzy sets. The aim is to improve FDPs' capabilities for managing uncertainty and imprecision. This extension is applied to predict the academic performance of the students who make use of Web-based tutoring systems. The prediction model contains(More)
Nowadays, tutoring systems, as well learning content management systems, are widely used in different education environments thanks to their great versatility. Therefore, the challenge of analyzing the large volumes of data generated by them has emerged. In this paper, fuzzy logic techniques are used to predict the students’ academic performance in tutoring(More)
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