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 …

The fuzzy cognitive map (FCM) is an effective tool for modeling dynamic decision support
systems. It describes the analyzed phenomenon in the form of key concepts and the causal …

Since managers and staff have not understood the actual consequences of risks in the food
industry well, risk management methods practically are limited to identification of the type of …

Fuzzy cognitive maps (FCMs) have been successfully used to model and predict stationary
time series. However, it still remains challenging to deal with large-scale nonstationary time …

The fuzzy cognitive map (FCM) is a powerful model for system state prediction and
interpretable knowledge representation. Recent years have witnessed the tremendous …

Although time series prediction is widely used to estimate the future state of complex
systems in various industries, accurate, interpretable and generalizable methods are still …

Fuzzy cognitive maps have achieved significant success in time series modeling and
forecasting. However, fuzzy cognitive maps still contain weakness to handle the …

The present research study explores three types of neural network approaches for
forecasting natural gas consumption in fifteen cities throughout Greece; a simple perceptron …

Fuzzy cognitive maps (FCMs) have been widely used in time series prediction due to the
excellent performance in dynamic system modeling. However, existing time series prediction …

The problem of time series prediction based on fuzzy cognitive maps (FCMs) is unresolved.
Although many methods have been proposed to cope with this issue, the performance of …