NORFREA: An algorithm for non redundant fuzzy rule extraction

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DC Field	Value	Language
dc.creator	Senhadji, Raouf	-
dc.creator	Sánchez-Solano, Santiago	-
dc.creator	Barriga, Angel	-
dc.creator	Baturone, I.	-
dc.creator	Moreno Velo, Francisco José	-
dc.date	2008-04-10T11:38:39Z	-
dc.date	2008-04-10T11:38:39Z	-
dc.date	2002-10	-
dc.date.accessioned	2017-01-31T01:01:51Z	-
dc.date.available	2017-01-31T01:01:51Z	-
dc.identifier	Proc. IEEE International Conference on Systems, Mans, and Cybernetics (SMC’2002), pp. 19, Hammamet (Tunisia), October 6-9, 2002.	-
dc.identifier	http://hdl.handle.net/10261/3518	-
dc.identifier.uri	http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3518	-
dc.description	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.	-
dc.description	Peer reviewed	-
dc.format	56064 bytes	-
dc.format	application/pdf	-
dc.language	eng	-
dc.publisher	Institute of Electrical and Electronics Engineers	-
dc.rights	openAccess	-
dc.subject	Fuzzy rules	-
dc.subject	Algorithms	-
dc.title	NORFREA: An algorithm for non redundant fuzzy rule extraction	-
dc.type	Comunicación de congreso	-
Appears in Collections:	Digital Csic

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