Approximate reasoning systems facilitate fuzzy inference through activating fuzzy if–then
rules in which attribute values are imprecisely described. Fuzzy rule interpolation (FRI) …

Analogical proportions are statements of the form” A is to B as C is to D” which play a key
role in analogical reasoning. We propose a logical encoding of analogical proportions in a …

Case-based reasoning (CBR) has received a great deal of attention in recent years and has
established itself as a core methodology in the field of artificial intelligence. The key idea of …

Analogy-based classifiers, first proposed in 2007, have been applied with success to
Boolean, nominal and numerical data. They rely on an extrapolation mechanism that …

Fuzzy interpolation enhances the robustness of fuzzy systems and helps to reduce systems
complexity. Although a number of important fuzzy rule interpolation approaches have been …

Fuzzy rule interpolation forms an important approach for performing inference with systems
comprising sparse rule bases. Even when a given observation has no overlap with the …

Approximate reasoning has been a very important source of motivations for the development
of fuzzy sets and possibility theory. It has also been at the origin of some of the most popular …

Robotic exoskeletons have emerged as effective rehabilitation and ability-enhancement
tools, by mimicking or supporting natural body movements. The control schemes of …

This paper provides a discussion of different multiple-valued extensions of logical
expressions of analogical proportions that are equivalent in the Boolean case. It is …

The Vitruvius platform is focused on vehicles and the possibility of working with their multiple
sensors, and the real-time data they can provide. With Vitruvius, users can create software …