Sedàs: a semantic based general classifier system
Aïda Valls Mateu, David Riaño Ramos, Vicenç Torra Ferré · Dialnet (Universidad de la Rioja) · 1997
In this work we present the general classifier system Sedas. 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.