Conjunction and disjunction operators in neuro-fuzzy risk calculation model simplification

E. Toth-Laufer, M. Takacs, I. Rudas

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

10 Citations (Scopus)

Abstract

In this paper a possible simplification of a risk level calculation model's neuro-fuzzy subsystem will be studied. The basic model has a hierarchical multilevel structure and uses fuzzy logic based decision making for some groups of risk factors and neuro-fuzzy subsystem is based on ANFIS model structure for the other. The simplification of neuro-fuzzy subsystem is based on disjunction fuzzy operator where the operator selection is application-dependent. This is because the three basic operations of crisp sets (negation, conjunction, and disjunction) can be generalized for fuzzy sets in an infinite number of ways. In this work the effect of different conjunction and disjunction operators on the result of simplified structure was compared and analyzed.

Original languageEnglish
Title of host publicationCINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
Pages195-200
Number of pages6
DOIs
Publication statusPublished - 2012
Event13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012 - Budapest, Hungary
Duration: Nov 20 2012Nov 22 2012

Other

Other13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012
CountryHungary
CityBudapest
Period11/20/1211/22/12

Fingerprint

Mathematical operators
Fuzzy sets
Model structures
Fuzzy logic
Decision making

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

Cite this

Toth-Laufer, E., Takacs, M., & Rudas, I. (2012). Conjunction and disjunction operators in neuro-fuzzy risk calculation model simplification. In CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings (pp. 195-200). [6496759] https://doi.org/10.1109/CINTI.2012.6496759

Conjunction and disjunction operators in neuro-fuzzy risk calculation model simplification. / Toth-Laufer, E.; Takacs, M.; Rudas, I.

CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. 2012. p. 195-200 6496759.

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

Toth-Laufer, E, Takacs, M & Rudas, I 2012, Conjunction and disjunction operators in neuro-fuzzy risk calculation model simplification. in CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings., 6496759, pp. 195-200, 13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012, Budapest, Hungary, 11/20/12. https://doi.org/10.1109/CINTI.2012.6496759
Toth-Laufer E, Takacs M, Rudas I. Conjunction and disjunction operators in neuro-fuzzy risk calculation model simplification. In CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. 2012. p. 195-200. 6496759 https://doi.org/10.1109/CINTI.2012.6496759
Toth-Laufer, E. ; Takacs, M. ; Rudas, I. / Conjunction and disjunction operators in neuro-fuzzy risk calculation model simplification. CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. 2012. pp. 195-200
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