Fuzzy systems have been used widely thanks to their ability to successfully solve a wide
range of problems in different application fields. However, their replication and application …

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 …

Abstract Fuzzy Logic Controllers are a specific model of Fuzzy Rule Based Systems suitable
for engineering applications for which classic control strategies do not achieve good results …

In the medical field, experts' knowledge is based on experience, theoretical knowledge and
rules. Case-based reasoning is a problem-solving paradigm which is based on past …

Since Zadeh's proposal and Mamdani's seminal ideas, interpretability is acknowledged as
one of the most appreciated and valuable characteristics of fuzzy system identification …

Abstract Explainable Artificial Intelligence is a novel paradigm conjugating the effectiveness
of machine learning with the new requirements coming from the integration of intelligent …

This paper presents an R package FuzzyR which is an extended fuzzy logic toolbox for the
R programming language. FuzzyR is a continuation of the previous Fuzzy R toolboxes such …

Recommender systems play a vital role in e-commerce by presenting personalized product
suggestions, reducing habituation and leading to transactions in an environment with limited …

Fuzzy knowledge-based systems (FKBS) are significantly applicable in the area of control,
classification, and modeling, having knowledge in the form of fuzzy if-then rules. Type-2 …

Understand the behavior of Fuzzy Rule-based Systems (FRBSs) at inference level is a
complex task that allows the designer to produce simpler and powerful systems. The fuzzy …