Sistema de apoyo al diagnóstico médico de COVID-19 mediante mapa cognitivo difuso

O Mar Cornelio, J Gulín González… - Revista Cubana de …, 2021 - SciELO Public Health
Introducción: Los escenarios de convivencia de las diversas poblaciones son muy
complejos, lo que contribuye con la propagación de enfermedades. Diagnosticar …

Modelo para la toma de decisiones sobre el control de acceso a las prácticas de laboratorios de Ingeniería de Control II en un sistema de laboratorios remoto

O Mar Cornelio - 2019 - repositorio.uci.cu
En Cuba la formación de especialistas en automática se realiza mediante la carrera de
Ingeniería en Automática que tiene dentro de sus disciplinas fundamentales, la disciplina …

Classification and feature transformation with fuzzy cognitive maps

P Szwed - Applied Soft Computing, 2021 - Elsevier
Abstract Fuzzy Cognitive Maps (FCMs) are considered a soft computing technique
combining elements of fuzzy logic and recurrent neural networks. They found multiple …

Fuzzy cognitive maps: their role in explainable artificial intelligence

ID Apostolopoulos, PP Groumpos - Applied Sciences, 2023 - mdpi.com
Currently, artificial intelligence is facing several problems with its practical implementation in
various application domains. The explainability of advanced artificial intelligence algorithms …

FCM expert: software tool for scenario analysis and pattern classification based on fuzzy cognitive maps

G Nápoles, ML Espinosa, I Grau… - International Journal on …, 2018 - World Scientific
Fuzzy Cognitive Maps (FCMs) have become a suitable and proven knowledge-based
methodology for systems modeling and simulation. This technique is especially attractive …

Uncertainty propagation in fuzzy grey cognitive maps with Hebbian-like learning algorithms

JL Salmeron, PR Palos-Sanchez - IEEE transactions on …, 2017 - ieeexplore.ieee.org
This paper is focused on an innovative fuzzy cognitive maps extension called fuzzy grey
cognitive maps (FGCMs). FGCMs are a mixture of fuzzy cognitive maps and grey systems …

Parameter analysis for sigmoid and hyperbolic transfer functions of fuzzy cognitive maps

T Koutsellis, G Xexakis, K Koasidis, A Nikas… - Operational …, 2022 - Springer
Fuzzy cognitive maps (FCM) have recently gained ground in many engineering applications,
mainly because they allow stakeholder engagement in reduced-form complex systems …

Sparse large-scale high-order fuzzy cognitive maps guided by Spearman correlation coefficient

X Li, Y Ma, Q Zhou, X Zhang - Applied Soft Computing, 2024 - Elsevier
Time series prediction is one of the most important applications of Fuzzy Cognitive Maps
(FCMs). In general, the state of FCMs in forecasting depends only on the state of the …

Fuzzy cognitive networks in diverse applications using hybrid representative structures

GD Karatzinis, NA Apostolikas, YS Boutalis… - International Journal of …, 2023 - Springer
Fuzzy cognitive networks (FCNs) arose from traditional fuzzy cognitive maps (FCMs) to have
the advantage of guaranteed convergence to equilibrium points, thus being more suitable …

Triangular neutrosophic cognitive map for multistage sequential decision-making problems

SH Al-subhi, EI Papageorgiou, PP Pérez… - International Journal of …, 2021 - Springer
Nowadays, fuzzy cognitive maps (FCMs) are one of the most efficient artificial intelligence
techniques for modeling large and complex systems. However, traditional FCMs have the …