A review on methods and software for fuzzy cognitive maps
Fuzzy cognitive maps (FCMs) keep growing in popularity within the scientific community.
However, despite substantial advances in the theory and applications of FCMs, there is a …
However, despite substantial advances in the theory and applications of FCMs, there is a …
Time series forecasting using fuzzy cognitive maps: a survey
O Orang, PC de Lima e Silva, FG Guimarães - Artificial Intelligence Review, 2023 - Springer
Among various soft computing approaches for time series forecasting, fuzzy cognitive maps
(FCMs) have shown remarkable results as a tool to model and analyze the dynamics of …
(FCMs) have shown remarkable results as a tool to model and analyze the dynamics of …
On the convergence of sigmoid fuzzy cognitive maps
Abstract Fuzzy Cognitive Maps (FCM) are Recurrent Neural Networks that are used for
modeling complex dynamical systems using causal relations. Similarly to other recurrent …
modeling complex dynamical systems using causal relations. Similarly to other recurrent …
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 …
combining elements of fuzzy logic and recurrent neural networks. They found multiple …
Fuzzy cognitive maps based models for pattern classification: Advances and challenges
Abstract Fuzzy Cognitive Maps (FCMs) have proven to be a suitable methodology for the
design of knowledge-based systems. By combining both uncertainty depiction and cognitive …
design of knowledge-based systems. By combining both uncertainty depiction and cognitive …
Learning and convergence of fuzzy cognitive maps used in pattern recognition
In recent years fuzzy cognitive maps (FCM) have become an active research field due to
their capability for modeling complex systems. These recurrent neural models propagate an …
their capability for modeling complex systems. These recurrent neural models propagate an …
Assessment of workplace accident risks in underground collieries by integrating a multi-goal cause-and-effect analysis method with MCDM sensitivity analysis
E Bakhtavar, S Yousefi - Stochastic environmental research and risk …, 2018 - Springer
This study introduces a method using a multi-goal fuzzy cognitive map (FCM) and multi-
criteria decision making based on sensitivity analysis to assess the risks associated with …
criteria decision making based on sensitivity analysis to assess the risks associated with …
A new fuzzy cognitive maps classifier based on capsule network
T Yu, Q Gan, G Feng, G Han - Knowledge-Based Systems, 2022 - Elsevier
In recent years, classification based on fuzzy cognitive maps (FCM) has received extensive
attention, has been applied in many engineering problems, and has proven to work well …
attention, has been applied in many engineering problems, and has proven to work well …
On the accuracy–convergence tradeoff in sigmoid fuzzy cognitive maps
Recently, a learning procedure to improve the overall convergence of sigmoid fuzzy
cognitive maps used in pattern classification was proposed. The algorithm estimates the …
cognitive maps used in pattern classification was proposed. The algorithm estimates the …
Recurrence-aware long-term cognitive network for explainable pattern classification
Machine-learning solutions for pattern classification problems are nowadays widely
deployed in society and industry. However, the lack of transparency and accountability of …
deployed in society and industry. However, the lack of transparency and accountability of …