Dynamic Classifier Aggregation Using Fuzzy t-conorm Integral
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00427236" target="_blank" >RIV/67985807:_____/11:00427236 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SITIS.2011.85" target="_blank" >http://dx.doi.org/10.1109/SITIS.2011.85</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SITIS.2011.85" target="_blank" >10.1109/SITIS.2011.85</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic Classifier Aggregation Using Fuzzy t-conorm Integral
Original language description
Fuzzy integral is a general aggregation operator, which encompasses many common aggregation operators like weighted mean, ordered weighted mean, weighted minimum and maximum, etc. In classifier combining, it can be used to aggregate the outputs of the individual classifiers in the team with respect to a fuzzy measure, based on the classifier confidences. In practice, the Choquet integral and the Sugeno integral are used most often. However, they both belong to the more general family of fuzzy t-conorm integral. In this paper, we theoretically examine which fuzzy t-conorm integrals are useful for classifier aggregation, and we experimentally compare the individual methods on 23 benchmark datasets.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SITIS 2011. Proceedings of the 7th International Conference on Signal Image Technology & Internet Based Systems
ISBN
978-1-4673-0431-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
126-133
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Dijon
Event date
Nov 28, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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