One of the key operations in fuzzy logic and approximate reasoning is the fuzzy implication,
which is usually performed by a binary operator, called an implication function or, simply, an …

This paper wants to be a compilation of the different existing classes of uninorms. From their
introduction, uninorms have been extensively studied not only as aggregation operators but …

Noise reduction is a paramount preliminary step in many computer vision applications in
which the presence of undesired noise can distort the results. Lately, the removal of high …

This paper is devoted to the study of implication (and co-implication) functions defined from
idempotent uninorms. The expression of these implications, a list of their properties, as well …

This paper deals with implications defined from uninorms U by residuation through the
expressionThe main goal is to solve the functional equation derived from the distributivity …

This work deals with two kinds of operators derived from uninorms. On the one hand, QL-
operators defined by IQ (x, y)= U′(N (x), U (x, y)) for all x, y∈[0, 1], where N is a strong …

This paper deals with implications defined from disjunctive uninorms $ U $ by the
expression $ I (x, y)= U (N (x), y) $ where $ N $ is a strong negation. The main goal is to …

In this paper, a new approach to fuzzy mathematical morphology based on discrete t-norms
is studied. The discrete t-norms that have to be used in order to preserve the most usual …

The law of importation is an important property of fuzzy implication functions with interesting
applications in approximate reasoning and image processing. This property has been …

We propose an alternative to the standard structure of L-fuzzy Mathematical Morphology
(MM) by, on the one hand, considering L-fuzzy relations as structuring elements and, on the …