Πλοήγηση ανά Θέμα "Fuzzy cognitive maps (FCMs)"
Αποτελέσματα 1-6 από 6
-
Exploring an ensemble of methods that combines fuzzy cognitive maps and neural networks in solving the time series prediction problem of gas consumption in Greece
(2019)This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim ... -
Exploring brazilian photovoltaic solar energy development scenarios using the fuzzy cognitive map wizard tool
(2020)Photovoltaic Solar Energy (PSE) sector has gained great attention during the last decades due to its significant role in the transition to sustainable energy systems. As a viable energy option, PSE has the potential to ... -
From undirected structures to directed graphical lasso fuzzy cognitive maps using ranking-based approaches
(2020)Fuzzy cognitive maps (FCMs) have gained popularity within the scientific community due to their capabilities in modelling and decision making for complex problems. However, learning FCM models automatically from data without ... -
Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks
(2016)In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). ... -
An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain
(2021)Despite the initial hype surrounding blockchain applications in the supply chain, real-world implementation of this disruptive technology faces significant challenges. To manage these challenges and ensure a smooth ... -
Introducing Fuzzy Cognitive Maps for decision making in precision agriculture
(2007)A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists of ...