RT Book, Section
T1 Aggregation tools for the evaluation of classifications
A1 Castiblanco, Fabian
A1 Gómez González, Daniel
A1 Montero De Juan, Francisco Javier
A1 Rodríguez González, Juan Tinguaro
AB This paper focuses on key issues related to aggregation tools within knowledge acquisition, and in particular for image processing. In particular, it is claimed the need of a number of simultaneous indices in order to evaluate the quality of a fuzzy classification (e.g., overlapping, covering and relevance), and that such a family of indices should allow learning, giving a hint on how such a classification can be improved. Our guess is that those indices can be obtained from certain families of well-known aggregation tools.
PB IEEE
SN 978-1-5090-4917-2
YR 2017
FD 2017
LK https://hdl.handle.net/20.500.14352/19471
UL https://hdl.handle.net/20.500.14352/19471
LA eng
NO Castiblanco, F., Gomez, D., Montero, J., Rodriguez, J.T.: Aggregation tools for the evaluation of classifications. En: 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS). pp. 1-5. IEEE, Otsu, Japan (2017)
NO Ministerio de Economía, Comercio y Empresa (España)
NO Comunidad de Madrid
NO Universidad Complutense de Madrid
DS Docta Complutense
RD 7 abr 2025