Title :
Improvements to the bacterial memetic algorithm used for fuzzy rule base extraction
Author :
Gal, Laszlo ; Botzheim, Janos ; Koczy, Laszlo T.
Author_Institution :
Inst. of Inf. Technol. & Electr. Eng., Szechenyi Istvan Univ., Gyor
Abstract :
In this paper we discuss new methods to improve the bacterial memetic algorithm (BMA) used for fuzzy rule base extraction. The first two methods are knot order violation handling methods which improves the performance of the BMA rather in the case of more complex fuzzy rule base. The third method is a new modification of the BMA in which the order of the operators is modified. This method improves the performance of the BMA rather in the case of less complex fuzzy rule base.
Keywords :
biology computing; biomimetics; fuzzy set theory; knowledge acquisition; microorganisms; bacterial memetic algorithm; fuzzy rule base extraction; knot order violation handling methods; Computational intelligence; Data mining; Electric variables measurement; Evolutionary computation; Fuzzy systems; Genetic algorithms; Inference algorithms; Informatics; Information technology; Microorganisms; BMA with the modified operator execution order; Bacterial Memetic Algorithm (BMA); Fuzzy systems; Levenberg-Marquardt method; Mamdani-type inference systems; knot order violation;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2008. CIMSA 2008. 2008 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2305-7
Electronic_ISBN :
978-1-4244-2306-4
DOI :
10.1109/CIMSA.2008.4595829
