Learning Algorithms for Fuzzy Cognitive Maps—A Review Study

By Elpiniki I. Papageorgiou. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 2012

303 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c6d5938efaf3cbaab0ce0ab634fec6dc1afdb3cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Elpiniki I. Papageorgiou
2. Jose L. Salmeron
3. Iwona Bak
4. M. Zioło
5. Beata Zofia Filipiak
6. Katarzyna Cheba

In Management Science and Operations Research

1. Elpiniki I. Papageorgiou
2. Jose L. Salmeron
3. Iwona Bak
4. M. Zioło
5. Beata Zofia Filipiak
6. Katarzyna Cheba

Citations in the corpus

• A Review of Fuzzy Cognitive Maps Research During the Last Decade (2013, methodology): “These algorithms are the most efficient and widely used to train FCMs according to the existing literature, as has been described in a recent review study [112].”
• How to Design More Sustainable Financial Systems: The Roles of Environmental, Social, and Governance Factors in the Decision-Making Process (2019, methodology): “A holistic conception, including the use of cognitive maps, may be used to study the criteria that are most important for the design of sustainable financial systems [128,129].”