RULE BASE OPTIMIZATION WITH A GENETIC FUZZY SYSTEM

Authors

  • Penka Georgieva
  • Ivan Popchev

Keywords:

hybrid systems, genetic fuzzy system, artificial intelligence

Abstract

This paper examines the concepts for designing and building a system that integrates the potential of fuzzy modeling with the capabilities of genetic algorithms in the process of finding optimal solutions. The rule-based genetic fuzzy system is a hybrid system that aims at optimizing the weight of the rules in the knowledge base of FSSAM. Some results from the optimization process are shown as an illustration of the system’s capabilities.

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References

КНК, Т. 7 Бр. 1 (2018)

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Published

2018-07-21

Issue

Vol. 7 No. 1 (2018): Computer Sciences and Communications

Section

Conference of BSU "Blue Economy and Blue Development". ISBN 978-619-7126-57-0

License

Articles published in "Computer Science and Communications" Magazine are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.  

How to Cite

RULE BASE OPTIMIZATION WITH A GENETIC FUZZY SYSTEM. (2018). COMPUTER SCIENCES AND COMMUNICATIONS, 7(1), 132-139. https://csc.bfu.bg/index.php/CSC/article/view/220

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