Fuzzy cognitive map applications in Medicine over the last two decades: a review study
ID Apostolopoulos, NI Papandrianos… - Bioengineering, 2024 - mdpi.com
Fuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers
because they can capture intricate associations among variables and generate precise …
because they can capture intricate associations among variables and generate precise …
Sustainability evaluation of urban large-scale infrastructure construction based on dynamic fuzzy cognitive map
H Chen, S Cheng, Y Qin, W Xu, Y Liu - Journal of Cleaner Production, 2024 - Elsevier
Enhancing the sustainability of large-scale infrastructure construction is the foundation and
trend of urban sustainable development and environmental protection. This paper proposes …
trend of urban sustainable development and environmental protection. This paper proposes …
Explainable deep fuzzy cognitive map diagnosis of coronary artery disease: Integrating myocardial perfusion imaging, clinical data, and natural language insights
Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive
identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as …
identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as …
Explainability analysis: An in-depth comparison between Fuzzy Cognitive Maps and LAMDA
Currently, it has become very relevant that machine learning techniques can provide an
explanation of the results they generate, which is even more relevant in certain domains …
explanation of the results they generate, which is even more relevant in certain domains …
Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps
Abstract Quasi-Nonlinear Fuzzy Cognitive Maps (q-FCMs) generalize the classic Fuzzy
Cognitive Maps (FCMs) by incorporating a nonlinearity coefficient that is related to the …
Cognitive Maps (FCMs) by incorporating a nonlinearity coefficient that is related to the …
A revised cognitive mapping methodology for modeling and simulation
Abstract Fuzzy Cognitive Maps (FCMs) hold promise as a mathematical tool for modeling
and simulating complex systems due to their transparency, flexibility to operate on prior …
and simulating complex systems due to their transparency, flexibility to operate on prior …
Investigating the Convergence of Sigmoid-Based Fuzzy General Grey Cognitive Maps
X Gao, X Gao, J Rong, X Li, N Li, Y Niu… - arXiv preprint arXiv …, 2024 - arxiv.org
The Fuzzy General Grey Cognitive Map (FGGCM) and Fuzzy Grey Cognitive Map (FGCM)
extend the Fuzzy Cognitive Map (FCM) by integrating uncertainty from multiple interval data …
extend the Fuzzy Cognitive Map (FCM) by integrating uncertainty from multiple interval data …
On the Convergence of Sigmoid and tanh Fuzzy General Grey Cognitive Maps
X Gao, XG Gao, J Rong, N Li, Y Niu, J Chen - arXiv preprint arXiv …, 2024 - arxiv.org
Fuzzy General Grey Cognitive Map (FGGCM) and Fuzzy Grey Cognitive Map (FGCM) are
extensions of Fuzzy Cognitive Map (FCM) in terms of uncertainty. FGGCM allows for the …
extensions of Fuzzy Cognitive Map (FCM) in terms of uncertainty. FGGCM allows for the …
Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps
In the quest for accurate and interpretable AI models, eXplainable AI (XAI) has become
crucial. Fuzzy Cognitive Maps (FCMs) stand out as an advanced XAI method because of …
crucial. Fuzzy Cognitive Maps (FCMs) stand out as an advanced XAI method because of …
Leveraging Information Flow-Based Fuzzy Cognitive Maps for Interpretable Fault Diagnosis in Industrial Robotics
Abstract In Industry 4.0, Artificial Intelligence (AI) is revolutionizing manufacturing with
innovations such as automated fault detection in robotics. However, many current AI models …
innovations such as automated fault detection in robotics. However, many current AI models …