Sugeno Integral for Rule-Based Ordinal Classification

Brabant, Quentin; Couceiro, Miguel; Dubois, Didier; Prade, Henri; Rico, Agnès

Brabant, Quentin; Couceiro, Miguel; Dubois, Didier; Prade, Henri; Rico, Agnès (2018), Sugeno Integral for Rule-Based Ordinal Classification, IJCAI-ECAI 2018 - Workshop on Learning and Reasoning: Principles and Applications to Everyday Spatial and Temporal Knowledge, 2018-07, Stockholm, SWEDEN

Type

Communication / Conférence

External document link

https://hal.archives-ouvertes.fr/hal-01889785

Date

2018

Conference title

IJCAI-ECAI 2018 - Workshop on Learning and Reasoning: Principles and Applications to Everyday Spatial and Temporal Knowledge

Conference date

2018-07

Conference city

Stockholm

Conference country

SWEDEN

Metadata

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Author(s)

Brabant, Quentin
Couceiro, Miguel
Dubois, Didier

Prade, Henri

Rico, Agnès

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.