Ponencia
NORFREA: An algorithm for non redundant fuzzy rule extraction
Autor/es | Senhadji Navarro, Raouf
Sánchez Solano, Santiago Barriga Barros, Ángel Baturone Castillo, María Iluminada Moreno Velo, Francisco José |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2002 |
Fecha de depósito | 2017-03-28 |
Publicado en |
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ISBN/ISSN | 0884-3627 |
Resumen | This contribution presents a new algorithm
(NORFREA) to select fuzzy rules from a grid
partition of the input domain. Besides using
an efficiency measure for the rules, this algorithm
employs an heuristic technique ... This contribution presents a new algorithm (NORFREA) to select fuzzy rules from a grid partition of the input domain. Besides using an efficiency measure for the rules, this algorithm employs an heuristic technique to reduce the influence of the initial grid structure. Different benchmarks of classification problems are included to illustrate the advantages of this algorithm |
Cita | Senhadji Navarro, R., Sánchez Solano, S., Barriga Barros, Á., Baturone Castillo, M.I. y Moreno Velo, F.J. (2002). NORFREA: An algorithm for non redundant fuzzy rule extraction. En IEEE International Conference on Systems, Man and Cybernetics (2002) (1-6), Tunisia: Institute of Electrical and Electronics Engineers (IEEE). |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Norfrea.pdf | 54.75Kb | [PDF] | Ver/ | |