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Die Seite wurde neu angelegt: „ == Reference == Vicenç Torra: Learning Aggregation Operators for Preference Modeling. In: Fürnkranz, J. and Hüllermeier, E.: Preference Learning, 2…“

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== Reference ==
Vicenç Torra: [[Learning Aggregation Operators for Preference Modeling]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 317-333.

== DOI ==
http://dx.doi.org/10.1007/978-3-642-14125-6_15

== Abstract ==
Aggregation operators are useful tools for modeling preferences. Such operators include weighted means, OWA and WOWA operators, as well as some fuzzy integrals, e.g. Choquet and Sugeno integrals. To apply these operators in an effective way, their parameters have to be properly defined. In this chapter, we review some of the existing tools for learning these parameters from examples.

== Extended Abstract ==

== Bibtex ==
@incollection{
year={2011},
isbn={978-3-642-14124-9},
booktitle={Preference Learning},
editor={Fürnkranz, Johannes and Hüllermeier, Eyke},
doi={10.1007/978-3-642-14125-6_15},
title={Learning Aggregation Operators for Preference Modeling},
url={http://dx.doi.org/10.1007/978-3-642-14125-6_15, http://de.evo-art.org/index.php?title=Learning_Aggregation_Operators_for_Preference_Modeling },
publisher={Springer Berlin Heidelberg},
author={Torra, Vicenç},
pages={317-333},
language={English}
}

== Used References ==
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Learning Aggregation Operators for Preference Modeling - Versionsgeschichte

Gubachelier: Die Seite wurde neu angelegt: „ == Reference == Vicenç Torra: Learning Aggregation Operators for Preference Modeling. In: Fürnkranz, J. and Hüllermeier, E.: Preference Learning, 2…“