Fuzzy cognitive maps in systems risk analysis: a comprehensive review
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 …
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …
Genetic learning of fuzzy cognitive maps
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 …
and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and …
New maximum power point tracker for PV arrays using fuzzy controller in close cooperation with fuzzy cognitive networks
The studies on the photovoltaic (PV) generation are extensively increasing, since it is
considered as an essentially inexhaustible and broadly available energy resource …
considered as an essentially inexhaustible and broadly available energy resource …
Fuzzy cognitive maps: basic theories and their application to complex systems
PP Groumpos - Fuzzy cognitive maps: Advances in theory …, 2010 - Springer
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 …
Fuzzy Cognitive Maps (FCMs). A mathematical description of FCM models is presented, new …
Learning fuzzy cognitive maps with modified asexual reproduction optimisation algorithm
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 …
and algorithms. FCMs are fuzzy digraphs with weights and feedback loops, consisting of …
Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps
AK Tsadiras - Information Sciences, 2008 - Elsevier
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 …
maps (FCMs). A fuzzy cognitive map is a recurrent artificial neural network that creates …
Process monitoring and fault detection strategies: a review
A Das, J Maiti, RN Banerjee - International Journal of Quality & …, 2012 - emerald.com
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 …
root causes are essential for the production of consistent good quality end products with …
The structure of mental models of sustainable agriculture
Progress towards sustainability is hampered by differing perceptions of how to advance
goals in systems characterized by massive interdependency. Systems thinking has been …
goals in systems characterized by massive interdependency. Systems thinking has been …
Design of a Fuzzy Cognitive Maps variable-load energy management system for autonomous PV-reverse osmosis desalination systems: A simulation survey
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 …
with renewable energy systems consisting usually of photovoltaics, wind-turbines and …
Design of fuzzy cognitive maps for modeling time series
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 …
(FCMs). Here, the maps are regarded as a modeling vehicle of time series. It is apparent that …