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NORFREA: An algorithm for non redundant fuzzy rule extraction

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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


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