About this article
Published Online: Jun 30, 2018
Page range: 20 - 35
Received: Jan 11, 2018
Accepted: Mar 15, 2018
DOI: https://doi.org/10.2478/cait-2018-0025
Keywords
© 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.