In the literature it is quite common to find problems that need efficient mechanisms in accomplishing the task of combining entries of the same nature of the inputs values. The aggregation functions, such as the Ordered ...

In convolutional neural networks, aggregation operations are performed in the convolution, pooling and fully connected dense layers. Promising results have been obtained in recent years when using ordered weighted averaging ...

Ensembles of classifiers is an method in machine learning that consists in a collection of classifiers that process the same information and their output is combined in some manner. The process of classification is done ...

A fuzzy graph, roughly speaking, is a fuzzy relation between the elements of a nonempty set. They are ideal for modeling uncertain data about these sets. There are several extensions of fuzzy graph for different fuzzy ...

Since the emergence of fuzzy set theory, many extensions proposals have been given. One of them is the n-dimensional fuzzy set in which its elements are tuples of size n whose components are values in [0, 1], ordered in ...