Nowadays, there is no application area in which Artificial Intelligence oriented solutions are
not employed. It is possible to see its use in even daily life and the solution scope of this …

In this study, we introduce a recent multicriteria decision theory concept of a new,
generalized form of Choquet integral function and its application, in particular to the problem …

This paper focuses on the aggregation of two tennis groundstrokes: Forehand and
backhand, which are performed in every match and training session. Recognition of tennis …

In face recognition, one of the most important problems to tackle is a large amount of data
and the redundancy of information contained in facial images. There are numerous …

The problem of aggregation of the classification results is one of the most important task in
image recognition or decision-making theory. There are many approaches to solve this …

Fuzzy measures and Choquet integral are efficient aggregation operators utilised intensively
in decision-making theory. To produce sound classification results based on a family of …

Face recognition techniques are very important, especially in security systems. To identify a
face shape, the face should be represented with specific features [1]. The face descriptor …

In this paper, a new approach to face description is proposed. The linguistic description of
human faces in digital pictures is generated within a framework of fuzzy granulation. Fuzzy …

In this paper, a new approach to face recognition is proposed. The knowledge represented
by fuzzy IF-THEN rules, with type-1 and type-2 fuzzy sets, are employed in order to generate …

In this study, we focused on the verification of suitable aggregation operators enabling
accurate differentiation of selected neurophysiological features extracted from resting-state …