The Use of Fuzzy t-Conorm Integral for Combining Classifiers

Authors:
David Štefka;Martin Holeňa
Affiliations:
Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague 8, Czech Republic 182 07;Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague 8, Czech Republic 182 07
Venue:
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2007

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Abstract

Choquet or Sugeno fuzzy integrals are commonly used for aggregating the results of different classifiers. However, both these integrals belong to a more general class of fuzzy t-conorm integrals. In this paper, we describe a framework of a fuzzy t-conorm integral and its use for combining classifiers. We show the advantages of this approach to classifier combining in several benchmark tests.