Comparison of fuzzy rule-based learning and inference systems

Krisztián Balázs, L. Kóczy, János Botzheim

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

8 Citations (Scopus)

Abstract

In our work we have compared various fuzzy rule based learning and inference systems. The base of the investigations was a modular system that we have implemented in C language. It contains several alternative versions of the two key elements of rule based learning - namely, the optimization algorithm and the inference method - which can be found in the literature. We obtained very different properties when combining these alternatives (changing the modules and connecting them) in all possible ways. The investigations determined the values of the quality measures (complexity and accuracy) of the obtained alternatives both analitically and experimentally where it was possible. Based on these quality measures the combinations have been ordered according to different aspects.

Original languageEnglish
Title of host publication9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008
Pages61-75
Number of pages15
Publication statusPublished - 2008
Event9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008 - Budapest, Hungary
Duration: Nov 6 2008Nov 8 2008

Other

Other9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008
CountryHungary
CityBudapest
Period11/6/0811/8/08

Fingerprint

Fuzzy rules

Keywords

  • Complexity
  • Fuzzy systems
  • Optimization
  • Rule based learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Balázs, K., Kóczy, L., & Botzheim, J. (2008). Comparison of fuzzy rule-based learning and inference systems. In 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008 (pp. 61-75)

Comparison of fuzzy rule-based learning and inference systems. / Balázs, Krisztián; Kóczy, L.; Botzheim, János.

9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008. 2008. p. 61-75.

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

Balázs, K, Kóczy, L & Botzheim, J 2008, Comparison of fuzzy rule-based learning and inference systems. in 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008. pp. 61-75, 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008, Budapest, Hungary, 11/6/08.
Balázs K, Kóczy L, Botzheim J. Comparison of fuzzy rule-based learning and inference systems. In 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008. 2008. p. 61-75
Balázs, Krisztián ; Kóczy, L. ; Botzheim, János. / Comparison of fuzzy rule-based learning and inference systems. 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008. 2008. pp. 61-75
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