<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Genetic Fuzzy System for Financial Management

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Genetic Fuzzy System for Financial Management"}

This paper discusses genetic fuzzy systems – hybrid systems of artificial intelligence combining the potential of fuzzy sets for modeling approximate reasoning...

Genetic Fuzzy System for Financial Management

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
Genetic fuzzy system, intelligent hybrid systems, financial management, artificial intelligence

© 2018 Penka V. Georgieva, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Genetic Fuzzy System for Financial Management

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

SchlüsselwörterGenetic fuzzy system, intelligent hybrid systems, financial management, artificial intelligence

© 2018 Penka V. Georgieva, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Genetic fuzzy system, intelligent hybrid systems, financial management, artificial intelligence