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

fYear

2008

fDate

14-16 July 2008

Firstpage

38

Lastpage

43

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CIMSA.2008.4595829

Filename

4595829