DocumentCode :
3152378
Title :
Fuzzy rule base extraction by the improved Bacterial Memetic Algorithm
Author :
Gál, László ; Botzheim, János ; Kóczy, László T. ; Ruano, Antonio E.
Author_Institution :
Inst. of Inf. Technol. & Electr. Eng., Szechenyi Istvan Univ., Gyor
fYear :
2008
fDate :
21-22 Jan. 2008
Firstpage :
49
Lastpage :
53
Abstract :
In this paper we introduce new methods for handling knot order violation occurred in the bacterial memetic algorithm (BMA) used for fuzzy rule base extraction. These methods perform slightly better than the method used before and are easier to integrate with the bacterial memetic algorithm.
Keywords :
fuzzy reasoning; fuzzy set theory; genetic algorithms; bacterial memetic algorithm; evolutionary algorithm; fuzzy rule base extraction; fuzzy set theory; genetic algorithm; Biological cells; Cloning; Data mining; Evolutionary computation; Fuzzy systems; Genetic algorithms; Genetic mutations; Informatics; Information technology; Microorganisms; Bacterial Memetic Algorithm; Levenberg-Marquardt method; fuzzy rule base; knot order violation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics, 2008. SAMI 2008. 6th International Symposium on
Conference_Location :
Herlany
Print_ISBN :
978-1-4244-2105-3
Electronic_ISBN :
978-1-4244-2106-0
Type :
conf
DOI :
10.1109/SAMI.2008.4469132
Filename :
4469132
Link To Document :
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