This paper discusses basic notions underlying fuzzy sets, especially gradualness,
uncertainty, vagueness and bipolarity, in order to clarify the significance of using fuzzy sets …

A fundamental challenge in neuro-symbolic AI is to devise primitives that fuse the logical
and neural concepts. The Neural Theorem Prover has proposed the notion of soft-unification …

Indistinguishability operators are essential tools in fuzzy logic since they fuzzify the concepts
of equivalence relation and crisp equality. This book collects all the main aspects of these …

Two important ideas at the core of Zadeh's seminal contributions to fuzzy logic and
approximate reasoning are the notions of granulation and that of possibilistic uncertainty. In …

The article proposes granular computing as a theoretical, formal and methodological basis
for the newly emerging research field of human–data interaction (HDI). We argue that the …

Data classification is a core component of many intelligent systems, and it has been almost
monopolizing the interest of the scientific community for decades. However, developing …

Routing, as one of the important problems in the field of robotics, is a complicated issue in
real and dynamic environments. In this study, routing was simulated using Genetic algorithm …

The Publication Citation Network helps you visualize the distribution of journal articles or
reviews. This extension helps determine the exposure of local and international university …

Peer assessment has become a primary solution to the challenge of evaluating a large
number of students in Massive Open Online Courses (MOOCs). In peer assessment, all …

In this paper, we introduce a logic-driven framework for modeling similarity based on
interpolative Boolean algebra (IBA). It consists of two main steps: data preprocessing and …