Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few
years. This is due to the widespread application of machine learning, particularly deep …

Machine and deep learning have proven their utility to generate data-driven models with
high accuracy and precision. However, their non-linear, complex structures are often difficult …

Context and Background: Complex fuzzy theory has a strong practical implication in many
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …

In this paper, we propose a novel fuzzy inference system on picture fuzzy set called picture
inference system (PIS) to enhance inference performance of the traditional fuzzy inference …

The problem of learning fuzzy rule bases is analyzed from the perspective of finding a
favorable balance between the accuracy of the system, the speed required to learn the rules …

This paper presents the results of a bibliometric study of the recent research on eXplainable
Artificial Intelligence (XAI) systems. We took a global look at the contributions of scholars in …

Fuzzy systems are universally acknowledged as valuable tools to model complex
phenomena while preserving a readable form of knowledge representation. The resort to …

Approximate reasoning is about reasoning with imperfect information. Nowadays, a large
diversity of approaches to approximate reasoning with fuzzy information and fuzzy type-2 …

Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve the
interpretability of fuzzy logic systems (FLSs). However, challenges remain, such as “How …

Analysing the interpretability of a fuzzy system (either hierarchical or not) involves
consideration of its semantic properties and evaluation of its structural complexity. The …