Genetic learning of fuzzy cognitive maps

By Wojciech Stach, Lukasz Kurgan, Witold Pedrycz, Marek Z. Reformat. Fuzzy Sets Syst., 2005

504 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/641ebf8c4ce351f6729f37470915103f26bd6f39

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. Kasper Kok
3. Jose L. Salmeron

Citations in the corpus

• The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil (2009, methodology): “A few key research themes are emerging, namely combining multiple Fuzzy Cognitive Maps (e.g. Koulouriotis et al., 2003); developing indices for analysing and comparing Fuzzy Cognitive Maps (Çoban and Seçme, 2005); and analysing the dynamic output of a Fuzzy Cognitive Map (Stach et al., 2005).”
• Learning Algorithms for Fuzzy Cognitive Maps—A Review Study (2012, methodology): “However, from the experimental studies, it was proved that the approach that used single set of historical data provides better convergence when it is compared to the approach that uses the entire dataset at once [40].”