A review of fuzzy cognitive maps research during the last decade
This survey makes a review of the most recent applications and trends on fuzzy cognitive
maps (FCMs) over the past decade. FCMs are inference networks, using cyclic digraphs, for …
maps (FCMs) over the past decade. FCMs are inference networks, using cyclic digraphs, for …
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 …
An intelligent decentralized energy management strategy for the optimal electric vehicles' charging in low‐voltage islanded microgrids
The expected significant growth in global electricity demand, followed by the adoption of
green energy sources, led to the modernization of the energy distribution grids, such as the …
green energy sources, led to the modernization of the energy distribution grids, such as the …
Development of a novel multiple-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS
In this paper, a new fuzzy Multiple-Attribute Decision Making (MADM) model is developed by
integrating the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and …
integrating the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and …
Time series forecasting using fuzzy cognitive maps: a survey
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 …
Methods and algorithms for fuzzy cognitive map-based modeling
The challenging problem of complex systems modeling methods with learning capabilities
and characteristics that utilize existence knowledge and human experience is investigated …
and characteristics that utilize existence knowledge and human experience is investigated …
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 …
Intuitionistic fuzzy cognitive maps
Uncertainty and imprecision characterize human cognitive and reasoning processes. Fuzzy
cognitive maps (FCMs) are computationally simple yet effective structures to approximately …
cognitive maps (FCMs) are computationally simple yet effective structures to approximately …
FCM expert: software tool for scenario analysis and pattern classification based on fuzzy cognitive maps
Fuzzy Cognitive Maps (FCMs) have become a suitable and proven knowledge-based
methodology for systems modeling and simulation. This technique is especially attractive …
methodology for systems modeling and simulation. This technique is especially attractive …
Adaptive estimation of fuzzy cognitive maps with proven stability and parameter convergence
Fuzzy cognitive maps (FCMs) have been introduced by Kosko to model complex behavioral
systems in various scientific areas. One issue that has not been adequately studied so far is …
systems in various scientific areas. One issue that has not been adequately studied so far is …