Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …

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 …

The challenging problem of modeling and controlling complex systems is investigated using
Fuzzy Cognitive Maps (FCMs). A mathematical description of FCM models is presented, new …

The studies on the photovoltaic (PV) generation are extensively increasing, since it is
considered as an essentially inexhaustible and broadly available energy resource …

This paper present a comparison between Fuzzy Cognitive Map (FCM) learning approaches
and algorithms. FCMs are fuzzy digraphs with weights and feedback loops, consisting of …

Purpose–Monitoring of a process leading to the detection of faults and determination of the
root causes are essential for the production of consistent good quality end products with …

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 …

Progress towards sustainability is hampered by differing perceptions of how to advance
goals in systems characterized by massive interdependency. Systems thinking has been …

In the last decades, much effort has been made in order to couple desalination technologies
with renewable energy systems consisting usually of photovoltaics, wind-turbines and …

This study elaborates on a comprehensive design methodology of fuzzy cognitive maps
(FCMs). Here, the maps are regarded as a modeling vehicle of time series. It is apparent that …