Navigating through an energy crisis: Challenges and progress towards electricity decarbonisation, reliability, and affordability in Italy
Following Russia's invasion of Ukraine and amidst COVID-19 recovery efforts, the energy
crisis has put enormous pressure to policymakers to balance climate action, sustainable …
crisis has put enormous pressure to policymakers to balance climate action, sustainable …
A critical historic overview of artificial intelligence: Issues, challenges, opportunities, and threats
PP Groumpos - Artificial Intelligence and Applications, 2023 - ojs.bonviewpress.com
Artificial intelligence (AI) has been considered a revolutionary and world-changing science,
although it is still a young field and has a long way to go before it can be established as a …
although it is still a young field and has a long way to go before it can be established as a …
Fuzzy cognitive map-based sustainable socio-economic development planning for rural communities
Every development and production process needs to operate within a circular economy to
keep the human being within a safe limit of the planetary boundary. Policymakers are in the …
keep the human being within a safe limit of the planetary boundary. Policymakers are in the …
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 …
Benchmarking main activation functions in fuzzy cognitive maps
S Bueno, JL Salmeron - Expert systems with Applications, 2009 - Elsevier
Fuzzy cognitive maps (FCM) are graph-based modeling tools. FCM can to be used for
structuring and supporting decisional processes. Also, FCM allow developing what-if …
structuring and supporting decisional processes. Also, FCM allow developing what-if …
A new methodology for decisions in medical informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques
EI Papageorgiou - Applied Soft Computing, 2011 - Elsevier
In this research work, a novel framework for the construction of augmented Fuzzy Cognitive
Maps based on Fuzzy Rule-Extraction methods for decisions in medical informatics is …
Maps based on Fuzzy Rule-Extraction methods for decisions in medical informatics is …
[HTML][HTML] A stakeholder-informed modelling study of Greece's energy transition amidst an energy crisis: The role of natural gas and climate ambition
While fossil fuel prices soar during the 2022 global energy crisis, the European Union
activates all available fossil-fuel levers and Greece still plans to use natural gas as a …
activates all available fossil-fuel levers and Greece still plans to use natural gas as a …
Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links
Fuzzy Cognitive Maps (FCMs) constitute an attractive knowledge-based methodology,
combining the robust properties of fuzzy logic and neural networks. FCMs represent causal …
combining the robust properties of fuzzy logic and neural networks. FCMs represent causal …
Identifying the components and interrelationships of smart cities in Indonesia: Supporting policymaking via fuzzy cognitive systems
Multiple Indonesian cities currently aim to qualify as “smart cities.” Previous research on
defining smart cities (eg, the implementation-oriented maturity model) tends to focus on …
defining smart cities (eg, the implementation-oriented maturity model) tends to focus on …
A first study of fuzzy cognitive maps learning using particle swarm optimization
KE Parsopoulos, EI Papageorgiou… - The 2003 Congress …, 2003 - ieeexplore.ieee.org
We introduce a new algorithm for fuzzy cognitive maps learning. The proposed approach is
based on the particle swarm optimization method and it is used for the detection of proper …
based on the particle swarm optimization method and it is used for the detection of proper …