NORFREA: An algorithm for non redundant fuzzy rule extraction

Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3518

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Title:	NORFREA: An algorithm for non redundant fuzzy rule extraction
Authors:	Senhadji, Raouf; Sánchez-Solano, Santiago CSIC ORCID; Barriga, Angel CSIC ORCID; Baturone, I. CSIC ORCID; Moreno Velo, Francisco José
Keywords:	Fuzzy rules Algorithms
Issue Date:	Oct-2002
Publisher:	Institute of Electrical and Electronics Engineers
Citation:	Proc. IEEE International Conference on Systems, Mans, and Cybernetics (SMC’2002), pp. 19, Hammamet (Tunisia), October 6-9, 2002.
Abstract:	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:	(IMSE-CNM) Comunicaciones congresos