Listar Artículos de revista DAC - AKS Aldizkari artikuluak por título
Mostrando ítems 1-20 de 81
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Aggregation functions to combine RGB color channels in stereo matching
In this paper we present a comparison study between different aggregation functions for the combination of RGB color channels in stereo matching problem. We introduce color information from images to the stereo matching ... -
An algorithm for group decision making using n -dimensional fuzzy sets, admissible orders and OWA operators
In this paper we propose an algorithm to solve group decision making problems using n -dimensional fuzzy sets, namely, sets in which the membership degree of each element to the set is given by an in- creasing tuple of n ... -
Analysis and stochastic characterization of TCP flows
Since the most Internet services use TCP as a transport protocol there is a growing interest in the characterization of TCP flows. However, the flow characteristics depend on a large number of factors, due to the complexity ... -
Application of the L-fuzzy concept analysis in the morphological image and signal processing
In this work we are going to set up a new relationship between the L-fuzzy Concept Analysis and the Fuzzy Mathematical Morphology. Specifically we prove that the problem of finding fuzzy images or signals that remain ... -
Application of two different methods for extending lattice-valued restricted equivalence functions used for constructing similarity measures on L-fuzzy sets
Based on previous investigations, we have proposed two different methods to extend lattice-valued fuzzy connectives (t-norms, t-conorms, negations and implications) and other related operators, considering a generalized ... -
Applications of finite interval-valued hesitant fuzzy preference relations in group decision making
The main purpose of this paper is to present the twofold group decision making problem, which is a new point of view of the group decision making problem where several experts and criteria can be considered at the same ... -
Binary relations coming from solutions of functional equations: orderings and fuzzy subsets
We analyze the main properties of binary relations, defined on a nonempty set, that arise in a natural way when dealing with real-valued functions that satisfy certain classical functional equations on two variables. We ... -
BioBuilder as a database development and functional annotation platform for proteins
Background: The explosion in biological information creates the need for databases that are easy to develop, easy to maintain and can be easily manipulated by annotators who are most likely to be biologists. However, ... -
A compact evolutionary interval-valued fuzzy rule-based classification system for the modeling and prediction of real-world financial applications with imbalanced data
The current financial crisis has stressed the need of obtaining more accurate prediction models in order to decrease the risk when investing money on economic opportunities. In addition, the transparency of the process ... -
Concept lattices associated with interval-valued L-fuzzy contexts
(Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1995) Artículo / ArtikuluaIn 1882 Wille published the paper titled Restructuring lattice theory: an approach based on hierarchies of concepts, where he developed a new theory called formal concept theory. In that paper he analyzes 0/1 relations ... -
Consensus image method for unknown noise removal
Noise removal has been, and it is nowadays, an important task in computer vision. Usually, it is a previous task preceding other tasks, as segmentation or reconstruction. However, for most existing denoising algorithms the ... -
Construction of admissible linear orders for interval-valued Atanassov intuitionistic fuzzy sets with an application to decision making
In this work we introduce a method for constructing linear orders between pairs of intervals by using aggregation functions. We adapt this method to the case of interval-valued Atanassov intuitionistic fuzzy sets and we ... -
Convolution lattices
We propose two convolution operations on the set of functions between two bounded lattices and investigate the algebraic structure they constitute, in particular the lattice laws they satisfy. Each of these laws requires ... -
d-XC integrals: on the generalization of the expanded form of the Choquet integral by restricted dissimilarity functions and their applications
Restricted dissimilarity functions (RDFs) were introduced to overcome problems resulting from the adoption of the standard difference. Based on those RDFs, Bustince et al. introduced a generalization of the Choquet integral ... -
A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients
Survival prediction of poly-trauma patients measure the quality of emergency services by comparing their predictions with the real outcomes. The aim of this paper is to tackle this problem applying C4.5 since it achieves ... -
Delay-throughput curves for timer-based OBS burstifiers with light load
The OBS burstifier delay-throughput curves are analyzed in this paper. The burstifier incorporates a timer-based scheme with minimum burst size, i. e., bursts are subject to padding in light-load scenarios. Precisely, due ... -
Desarrollo de un sistema de decisión basado en lógica borrosa para el uso de bombas de insulina
Basándonos en el conocimiento de un usuario experto en la utilización de bombas de insulina, hemos desarrollado un software de apoyo para usuarios noveles de dicha tecnología. Nuestro sistema de decisión tiene en cuenta ... -
Descubrimiento de conocimiento en bases de datos utilizando técnicas de morfología matemática borrosa
En este artículo se analiza el efecto, la utilidad y la interpretación de los filtros asociados a la Morfología Matemática Borrosa en procesos de Descubrimiento de Conocimiento en Bases de Datos. En particular se estudian ... -
Enhancing multi-class classification in FARC-HD fuzzy classifier: on the synergy between n-dimensional overlap functions and decomposition strategies
There are many real-world classification problems involving multiple classes, e.g., in bioinformatics, computer vision or medicine. These problems are generally more difficult than their binary counterparts. In this scenario, ... -
EUSC: a clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification
Learning from imbalanced datasets is highly demanded in real-world applications and a challenge for standard classifiers that tend to be biased towards the classes with the majority of the examples. Undersampling approaches ...