Genetic Fuzzy System for Financial Management

Penka V. Georgieva

doi:10.2478/cait-2018-0025

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Genetic Fuzzy System for Financial Management

Cybernetics and Information Technologies

Volume 18 (2018): Issue 2 (June 2018)

By: Penka V. Georgieva

Open Access

|Jun 2018

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.

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Articles in this issue

DOI: https://doi.org/10.2478/cait-2018-0025 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 20 - 35

Submitted on: Jan 11, 2018

Accepted on: Mar 15, 2018

Published on: Jun 30, 2018

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Genetic fuzzy system,

intelligent hybrid systems,

financial management,

artificial intelligence

Related subjects:

Computer sciences,

Information technology

© 2018 Penka V. Georgieva, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 18 (2018): Issue 2 (June 2018)