Due to the increasing complexity of educational data, the use of decision analysis
techniques such as Multi-Criteria Decision Making (MCDM) models has become more …

Data envelopment analysis (DEA), rough set theory (RS) and fuzzy artificial neural network
(FANN) are combined as DEA-RS-FANN procedure to explore the effects of influencing …

Roof fall is one of the most important hazards connected with underground coal mines,
because significantly affects financial and human losses. On the other hand, according to …

Despite the popularity and practical importance of the fuzzy inference system (FIS), the use
of an FIS model as an n-ary aggregation function, which is characterized by both the …

In this paper, a new fuzzy peer assessment methodology that considers vagueness and
imprecision of words used throughout the evaluation process in a cooperative learning …

La apreciación del estado cognitivo de un estudiante presenta inconvenientes originados
en el tratamiento de la imprecisión presente tanto en la naturaleza dinámica del estado …

This study developed a fuzzy logic and Gagné learning hierarchy (FL-GLH) for assessing
mathematics skills and identifying learning barrier points. Fuzzy logic was used to model the …

In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference
System (FIS) are examined. The first is on designing or tuning of Gaussian Membership …

E-learning systems output a huge quantity of data on a learning process. However, it takes a
lot of specialist human resources to manually process these data and generate an …

In this study we have proposed an Intelligent Adaptive e-Learning Model that incorporates
the ability to intelligently classify learners. There is a need for learning to continue, whether …