Listar Artículos de revista - Aldizkari artikuluak por autor UPNA "Bustince Sola, Humberto"
Mostrando ítems 1-20 de 135
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Abstract homogeneous functions and consistently influenced/disturbed multi-expert decision making
In this paper we propose a new generalization for the notion of homogeneous functions. We show some properties and how it appears in some scenarios. Finally we show how this generalization can be used in order to provide ... -
Admissible orders on fuzzy numbers
From the more than two hundred partial orders for fuzzy numbers proposed in the literature, only a few are total. In this paper, we introduce the notion of admissible order for fuzzy numbers equipped with a partial order, ... -
Admissible OWA operators for fuzzy numbers
Ordered Weighted Averaging (OWA) operators are some of the most widely used aggregation functions in classic literature, but their application to fuzzy numbers has been limited due to the complexity of defining a total ... -
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 ... -
Aggregation of individual rankings through fusion functions: criticism and optimality analysis
Throughout this paper, our main idea is to analyze from a theoretical and normative point of view different methods to aggregate individual rankings. To do so, first we introduce the concept of a general mean on an abstract ... -
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 ... -
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 ... -
Applying d-XChoquet integrals in classification problems
Several generalizations of the Choquet integral have been applied in the Fuzzy Reasoning Method (FRM) of Fuzzy Rule-Based Classification Systems (FRBCS's) to improve its performance. Additionally, to achieve that goal, ... -
CFM-BD: a distributed rule induction algorithm for building compact fuzzy models in Big Data classification problems
Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions and decisions. However, when it comes to ... -
Co-occurrence of deep convolutional features for image search
Image search can be tackled using deep features from pre-trained Convolutional Neural Networks (CNN). The feature map from the last convolutional layer of a CNN encodes descriptive information from which a discriminative ... -
Community detection and social network analysis based on the Italian wars of the 15th century
In this contribution we study social network modelling by using human interaction as a basis. To do so, we propose a new set of functions, affinities, designed to capture the nature of the local interactions among each ... -
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 ... -
Comprehensive rules-based and preferences induced weights allocation in group decision-making with BUI
Decision-makers' subjective preferences can be well modeled using preference aggregation operators and related induced weights allocation mechanisms. However, when several different types of preferences occur in some ... -
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 ... -
Constructing interval-valued fuzzy material implication functions derived from general interval-valued grouping functions
Grouping functions and their dual counterpart, overlap functions, have drawn the attention of many authors, mainly because they constitute a richer class of operators compared to other types of aggregation functions. ... -
Construction methods of fuzzy implications on bounded posets
(Elsevier, 2024) Artículo / ArtikuluaThe fuzzy implication on bounded lattices was introduced by Palmeira et al., and the method of extending fuzzy implications on bounded lattices by using retraction was provided. However, we find that the extension of fuzzy ... -
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 ... -
Curve-based monotonicity: a generalization of directional monotonicity
In this work we propose a generalization of the notion of directional monotonicity. Instead of considering increasingness or decreasingness along rays, we allow more general paths defined by curves in the n-dimensional ...