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Sugeno Integral for Rule-Based Ordinal Classification

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Date
2018
Link to item file
https://hal.archives-ouvertes.fr/hal-01889785
Dewey
Principes généraux des mathématiques
Conference name
IJCAI-ECAI 2018 - Workshop on Learning and Reasoning: Principles and Applications to Everyday Spatial and Temporal Knowledge
Conference date
07-2018
Conference city
Stockholm
Conference country
SWEDEN
URI
https://basepub.dauphine.fr/handle/123456789/21012
Collections
  • LAMSADE : Publications
Metadata
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Author
Brabant, Quentin
Couceiro, Miguel
Dubois, Didier
Prade, Henri
Rico, Agnès
Type
Communication / Conférence
Abstract (EN)
We present a method for modeling empirical data by a rule set in ordinal classification problems. This method is nonparametric and uses an intermediary model based on Sugeno integral. The accuracy of rule sets thus obtained is competitive with other rule-based classifiers. Special attention is given to the length of rules, i.e., number of conditions.

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