Revistes Catalanes amb Accés Obert (RACO)

Sedàs: a semantic based general classifier system

Aïda Valls Mateu, David Riaño Ramos, Vicenç Torra

Resum


In this work we present the general classifier system Sedàs.
We show how this system implements the description of the domain
and how it builds similarity matrices and classification trees. The system uses a new semantics, introduced in [Torra96], to define a distance between qualitative values.

Text complet: HTML