This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …

Modelling consumer credit risk is a crucial task for banks and non-bank financial institutions
to support decision-making on granting loans. To model the overall credit risk of a consumer …

In recent years, a great number of publications have explored the use of genetic algorithms
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …

Although fuzzy systems demonstrated their ability to solve different kinds of problems in
various applications, there is an increasing interest on augmenting them with learning …

In this paper we compare different data mining methods and techniques for classifying
students based on their Moodle usage data and the final marks obtained in their respective …

This paper shows how web usage mining can be applied in e‐learning systems in order to
predict the marks that university students will obtain in the final exam of a course. We have …

Time-series forecasting is an important research and application area. Much effort has been
devoted over the past several decades to develop and improve the time-series forecasting …

This paper considers the automatic design of fuzzy-rule-based classification systems from
labeled data. The performance of classifiers and the interpretability of generated rules are of …

In today's fuzzy community, the blending of fuzzy model and deep learning has become one
hot topic for the development of more sophisticated and high-powered fuzzy systems. In this …

The reliability estimation of engineered components is fundamental for many optimization
policies in a production process. The main goal of this paper is to study how machine …