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Conference Papers Year : 2018

Sugeno Integral for Rule-Based Ordinal Classification

Abstract

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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Dates and versions

hal-01889785 , version 1 (08-10-2018)

Identifiers

  • HAL Id : hal-01889785 , version 1

Cite

Quentin Brabant, Miguel Couceiro, Didier Dubois, Henri Prade, Agnès Rico. Sugeno Integral for Rule-Based Ordinal Classification. IJCAI Workshop on Learning and Reasoning: Principles and Applications to Everyday Spatial and Temporal Knowledge (IJCAI-ECAI 2018), International Joint Conference on Artificial Intelligence, Jul 2018, Stockholm, Sweden. ⟨hal-01889785⟩
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