Hierarchical fuzzy system modeling by genetic and bacterial programming approaches

Krisztián Balázs, János Botzheim, L. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

In this paper a method is proposed for constructing hierarchical fuzzy rule bases in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The resultant hierarchical rule base is the knowledge base, which is constructed by using structure constructing evolutionary techniques, namely, Genetic and Bacterial Programming Algorithms. Applying hierarchical fuzzy rule bases is a way of reducing the complexity of the knowledge base, whereas evolutionary methods ensure a relatively efficient learning process. This is the reason of the investigation of this combination.

Original languageEnglish
Title of host publication2010 IEEE World Congress on Computational Intelligence, WCCI 2010
DOIs
Publication statusPublished - 2010
Event2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - Barcelona, Spain
Duration: Jul 18 2010Jul 23 2010

Other

Other2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010
CountrySpain
CityBarcelona
Period7/18/107/23/10

Fingerprint

Fuzzy rules
Fuzzy systems
Learning systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

Cite this

Balázs, K., Botzheim, J., & Kóczy, L. (2010). Hierarchical fuzzy system modeling by genetic and bacterial programming approaches. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 [5584220] https://doi.org/10.1109/FUZZY.2010.5584220

Hierarchical fuzzy system modeling by genetic and bacterial programming approaches. / Balázs, Krisztián; Botzheim, János; Kóczy, L.

2010 IEEE World Congress on Computational Intelligence, WCCI 2010. 2010. 5584220.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Balázs, K, Botzheim, J & Kóczy, L 2010, Hierarchical fuzzy system modeling by genetic and bacterial programming approaches. in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010., 5584220, 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010, Barcelona, Spain, 7/18/10. https://doi.org/10.1109/FUZZY.2010.5584220
Balázs K, Botzheim J, Kóczy L. Hierarchical fuzzy system modeling by genetic and bacterial programming approaches. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010. 2010. 5584220 https://doi.org/10.1109/FUZZY.2010.5584220
Balázs, Krisztián ; Botzheim, János ; Kóczy, L. / Hierarchical fuzzy system modeling by genetic and bacterial programming approaches. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010. 2010.
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