Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3518
Título : NORFREA: An algorithm for non redundant fuzzy rule extraction
Autor : Senhadji, Raouf, Sánchez-Solano, Santiago, Barriga, Angel, Baturone, I., Moreno Velo, Francisco José
Palabras clave : Fuzzy rules
Algorithms
Fecha de publicación : Oct-2002
Editor: Institute of Electrical and Electronics Engineers
Citación : Proc. IEEE International Conference on Systems, Mans, and Cybernetics (SMC’2002), pp. 19, Hammamet (Tunisia), October 6-9, 2002.
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 to reduce the influence of the initial grid structure. Different benchmarks of classification problems are included to illustrate the advantages of this algorithm.
URI : http://hdl.handle.net/10261/3518
Appears in Collections:(IMS-CNM) Comunicaciones congresos

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