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 …

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 …

Fuzzy cognitive maps (FCMs) are a very convenient, simple, and powerful tool for simulation
and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and …

In this paper, we compare the inference capabilities of three different types of fuzzy cognitive
maps (FCMs). A fuzzy cognitive map is a recurrent artificial neural network that creates …

Defining objectives for ecological rehabilitation requires consideration of how an ecosystem
responds to management. Validated quantitative models of physical, chemical, and …

Abstract Fuzzy Cognitive Maps (FCM) are Recurrent Neural Networks that are used for
modeling complex dynamical systems using causal relations. Similarly to other recurrent …

This paper proposes the use of fuzzy cognitive maps (FCMs) as a technique for supporting
the decision-making process in effect-based planning. The goal is to determine alternative …

This paper proposes a two-stage prediction model, for multivariate time series prediction
based on the efficient capabilities of evolutionary fuzzy cognitive maps (FCMs) enhanced by …

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 …

Rheumatoid Arthritis (RA) is a chronic autoimmune disease that affect joints and muscles,
and can result in noticeable disruption of joint structure and function. Early diagnosis of RA …