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Title
Abstract
Introduction
Designing a Model of a Genetic Fuzzy System
Results
Conclusion
References

Genetic Fuzzy System for Financial Management

Profile image of Penka GeorgievaPenka Georgieva

Cybernetics and Information Technologies

https://doi.org/10.2478/CAIT-2018-0025
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16 pages

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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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References (20)

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  2. H e r r e r a, F., M. L o z a n o, E. H e r r e r a-V i e d m a, J. V e r d e g a y. Fuzzy Tools to Improve Genetic Algorithms. -In: Proc. of European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1994, pp. 1532-1539.
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  14. M e l i n, P., O. C a s t i l l o, E. R a m í r e z. Analysis and Design of Intelligent Systems Using Soft Computing Techniques. -Series: Advances in Soft Computing, Vol. 41, 2007.
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  16. G o l d b e r g, D., K. Deb. A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. -In: Foundations of Genetic Algorithms, Los Altos, Morgan Kaufmann, 1991, pp. 69-93.
  17. P o p c h e v, I., V. P e n e v a. An Algorithm for Comparison of Fuzzy Sets. -Fuzzy Sets and Systems, Elsevier Science Publishers, Norht-Holland, Amsterdam, Vol. 60, 1993, No 1, pp. 59-65.
  18. R a d e v a, I. Multicriteria Fuzzy Sets Application in Economic Clustering Problems. -Cybernetics and Information Technologies, Vol. 17, 2017, No 3, pp. 29-46.
  19. R a d e v a, I. Multi-Criteria Models for Cluster Design. -Cybernetics and Information Technologies, Vol. 13, 2013, No 1, pp. 18-33.
  20. Received 11.01.2018; Second Version 26.02.2018; Accepted 15.03.2018

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