Linguistic fuzzy modelling, developed by linguistic fuzzy rule-based systems, allows us to
deal with the modelling of systems by building a linguistic model which could become …

Over the past few decades, fuzzy systems have been widely used in several application
fields, thanks to their ability to model complex systems. The design of fuzzy systems has …

Although Takagi-Sugeno-Kang (TSK) fuzzy classifier has been applied to a wide range of
practical scenarios, how to enhance its classification accuracy and interpretability …

Diabetes is a serious chronic disease. The importance of clinical decision support systems
(CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy …

In recent times, we have seen an explosion in the number of new solutions to address the
problem of semantic similarity. In this context, solutions of a neuronal nature seem to obtain …

Obtaining comprehensible classifiers may be as important as achieving high accuracy in
many real-life applications such as knowledge discovery tools and decision support …

Historically, progress occurs when entities communicate, share information and together
create something that no one individually could do alone. Moving beyond people to …

Interpretability is acknowledged as one of the most appreciated advantages of fuzzy systems
in many applications, especially in those with high human interaction where it actually …

Fuzzy rule-based systems are one of the most important areas of application of fuzzy sets
and fuzzy logic. Constituting an extension of classical rule-based systems, these have been …

Abstract Explainable Artificial Intelligence (XAI) is a relatively new approach to AI with
special emphasis to the ability of machines to give sound motivations about their decisions …