Overview of type-2 fuzzy logic systems
AT Azar - International Journal of Fuzzy System Applications …, 2012 - igi-global.com
Fuzzy set theory has been proposed as a means for modeling the vagueness in complex
systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by …
systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by …
Microcalcification detection in mammograms using interval type-2 fuzzy logic system with automatic membership function generation
S Chumklin, S Auephanwiriyakul… - … Conference on Fuzzy …, 2010 - ieeexplore.ieee.org
Breast cancer is an important deleterious disease. Mortality rate from this cancer is
effectively high and rapidly increasing. The detection at the earlier state can help to reduce …
effectively high and rapidly increasing. The detection at the earlier state can help to reduce …
Hybrid model based on neural networks and fuzzy logic for 2-lead cardiac arrhythmia classification
E Ramírez, P Melin, G Prado-Arechiga - Hybrid Intelligent Systems in …, 2020 - Springer
We present how to combine neural networks and fuzzy logic to form a hybrid model as a
classification system using 2-lead for cardiac arrhythmias. This hybrid model is used …
classification system using 2-lead for cardiac arrhythmias. This hybrid model is used …
[PDF][PDF] A Comparison Between Fuzzy Type-1 and Type-2 Systems in Medical Decision Making: A Systematic Review.
A Orooji, M Langarizadeh, M Hassanzad… - Crescent Journal of …, 2019 - cjmb.org
Objectives: Fuzzy logic is considered a powerful instrument for dealing with uncertainty and
is implemented in both type-1 and type-2 ways. The expert systems (ESs) and decision …
is implemented in both type-1 and type-2 ways. The expert systems (ESs) and decision …
Overlapping clusters and support vector machines based interval type-2 fuzzy system for the prediction of peptide binding affinity
In the post-genome era, it is becoming more complex to process high dimensional, low-
instance available, and nonlinear biological datasets. This paper aims to address these …
instance available, and nonlinear biological datasets. This paper aims to address these …
A Review of Interval Valued Type 2 Fuzzy Rule-Based Classifiers
TW Liao - 2023 International Conference on Machine Learning …, 2023 - ieeexplore.ieee.org
This paper presents a review of 21 past works on developing interval-valued type-2 fuzzy
rule-based classifiers (IVT2FRBC) for various applications. Special attention is paid to two …
rule-based classifiers (IVT2FRBC) for various applications. Special attention is paid to two …
A Modular neural network approach for cardiac arrhythmia classification
E Ramírez, P Melin, G Prado-Arechiga - Intuitionistic and Type-2 Fuzzy …, 2020 - Springer
In this work we describe a modular neural network approach to use expert modules as a
classification model for 12-lead cardiac arrhythmias. The modular neural network is …
classification model for 12-lead cardiac arrhythmias. The modular neural network is …
Nuevo enfoque Modular para Modelos de Clasificación basados en Lógica Difusa Tipo-2 y Redes Neuronales
E RAMIREZ FLORES - 2021 - 51.143.95.221
Description: En la actualidad, diferentes métodos han sido utilizados para resolver
problemas de clasificación, sin embargo, existen problemas complejos en los que un …
problemas de clasificación, sin embargo, existen problemas complejos en los que un …
[HTML][HTML] Análisis de señales biomédicas para aplicación de terapias en la fibrilación ventricular cardiaca
A Mjahad - 2017 - dialnet.unirioja.es
La muerte súbita es una muerte natural, inesperada y rápida en un tiempo límite de 24
horas después del comienzo de un proceso patológico. Las causas más comunes de la …
horas después del comienzo de un proceso patológico. Las causas más comunes de la …