Online veröffentlicht: 30. Juni 2018
Seitenbereich: 20 - 35
Eingereicht: 11. Jan. 2018
Akzeptiert: 15. März 2018
DOI: https://doi.org/10.2478/cait-2018-0025
Schlüsselwörter
© 2018 Penka V. Georgieva, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
This paper discusses genetic fuzzy systems – hybrid systems of artificial intelligence combining the potential of fuzzy sets for modeling approximate reasoning with the abilities of genetic algorithms for finding optimal solutions. The use of genetic algorithms for optimizing the parameters of a fuzzy system is demonstrated on GFSSAM.