The Use of Fuzzy t-Conorm Integral for Combining Classifiers

DOI10.1007/978-3-540-75256-1_66zbMath1148.68497OpenAlexW1807101554MaRDI QIDQ3524988

David Štefka, Martin Holeňa

Publication date: 16 September 2008

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-75256-1_66

zbMATH Keywords

fuzzy integralfuzzy measurecombining classifiersclassifier aggregationt-conorm integral

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Fuzzy measure theory (28E10)

Uses Software

• UCI-ml

Cites Work

• Bagging predictors
• Fuzzy t-conorm integral with respect to fuzzy measures: Generalization of Sugeno integral and Choquet integral
• Fundamentals of uncertainty calculi with applications to fuzzy inference
• Use of Dempster-Shafer theory to combine classifiers which use different class boundaries
• Triangular norms
• Aggregating membership values by a Choquet-fuzzy-integral based operator
• Decision templates for multiple classifier fusion: An experimental comparison

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