On Fuzzy Cognitive Maps and its Applications

On Fuzzy Cognitive Maps and its Applications

Colloque / Congrès / Forum
Ouvert au grand public
29.10.2024 11:00
Présentiel

Fuzzy Cognitive Maps (FCMs) are a type of recurrent neural network that consists of neural concepts and causal relations. FCMs allow decision-makers to analyze the interdependencies and causal relationships between different variables in a system, and also allow researchers and practitioners to classify, simulate and predict.
FCMs are useful for building more interpretable models than most state-of-the-art models. But it is also a fact that the interpretability of FCMs causes, as a counterpart, relatively higher errors than other models. In this lecture recent improvements that increase the accuracy and keep the explain ability are shown and explained.
The work to present has been a collaboration with researchers from Hasselt University (Belgium), Tilburg university (Netherlands) and Universidad Central Marta
Abreu de Las Villas (Cuba).

Departement d’informatique
Edy Portmann
stephanie.fasel [a] unifr[.]ch
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