A5085226753- Multi-Criteria Decision Making
- Fuzzy Systems and Optimization
- Rough Sets and Fuzzy Logic
- Fuzzy Logic and Control Systems
- Advanced Algebra and Logic
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Optimization and Mathematical Programming
- Fuzzy and Soft Set Theory
- Intuitionistic Fuzzy Systems Applications
- Neural Networks and Applications
- Bayesian Modeling and Causal Inference
- Advanced Statistical Methods and Models
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Text and Document Classification Technologies
- Mathematical Inequalities and Applications
- Advanced Text Analysis Techniques
- Nonlinear Partial Differential Equations
- Image and Object Detection Techniques
- Remote-Sensing Image Classification
- Liver Disease and Transplantation
- EEG and Brain-Computer Interfaces
- Digital Image Processing Techniques
- Numerical methods in inverse problems
European Foundation for the Study of Chronic Liver Failure
2025
The University of Queensland
2024
Universidad de Navarra
2010-2023
Universidad Publica de Navarra
2014-2023
Universidad de Oviedo
2003-2022
Singapore University of Technology and Design
2022
Complejo Hospitalario de Navarra
2022
Slovak University of Technology in Bratislava
2011-2022
John Wiley & Sons (United States)
2021
Hudson Institute
2021
In this paper, we review the definition and basic properties of different types fuzzy sets that have appeared up to now in literature. We also analyze relationships between them enumerate some applications which they been used.
This paper presents a multiobjective evolutionary algorithm to optimize radial basis function neural networks (RBFNNs) in order approach target functions from set of input-output pairs. The procedure allows the application heuristics improve solution problem at hand by including some new genetic operators process. These are based on two well-known matrix transformations: singular value decomposition (SVD) and orthogonal least squares (OLS), which have been used define mutation that produce...
In this paper, we will present a wider view on the relationship between interval-valued fuzzy sets and interval type-2 sets, where show that are particular case of sets. For reason, both concepts should be treated in different way. addition, presented paper allow more general perspective which representing could not by
A key component of fuzzy rule-based classification systems (FRBCS) is the reasoning method (FRM) since it infers class predicted for new examples. crucial stage in any FRM way which information given by fired rules during inference process aggregated. widely used winning rule, applies maximum to accomplish this aggregation. The an averaging operator, means that its result within range delimited minimum and aggregated values. Recently, operators based on generalizations Choquet integral have...
An important problem in working with fuzzy sets is the correct construction of membership functions that represent objects system. Different experts construct different to same object. In this paper, we an interval type-2 set (IT2FS) such length (membership) represents uncertainty expert respect choice function. We analyze context image segmentation. propose a new version classical thresholding algorithm, which can select multiple functions, avoid selecting only one image. From these IT2FS,...
Brain-computer interface (BCI) technologies are popular methods of communication between the human brain and external devices. One most approaches to BCI is motor imagery (MI). In applications, electroencephalography (EEG) a very measurement for dynamics because its noninvasive nature. Although there high interest in topic, performance existing systems still far from ideal, due difficulty performing pattern recognition tasks EEG signals. This lies selection correct channels, signal-to-noise...
It is shown that if a function u satisfies backward parabolic inequality in an open set Ω∉Rn+1 and vanishes to infinite order at point (x0·t0) Ω, then u(x, t0)=0 for all x the connected component of x0 Ω⌢(Rn×{t0}).
Stereo matching problem attempts to find corresponding locations between pairs of displaced images the same scene. Correspondence estimation pixels suffers from occlusions, noise, and bias. This paper introduces a novel approach represent by means interval-valued fuzzy sets. These sets allow one overcome uncertainty due aforementioned problems. The aim is take advantage new representation develop stereo algorithm. fuzzification process for that proposed here based on image segmentation....
Atanassov's intuitionistic fuzzy sets (AIFS) and interval valued (IVFS) are two generalizations of a set, which equivalent mathematically although different semantically. We analyze the median aggregation operator for AIFS IVFS. Different mathematical theories have lead to definitions operator. look at from various perspectives: as an instance ordered weighted averaging operator, Fermat point in plane, minimizer input disagreement, operation on distributive lattices. underline several...