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New method for fuzzy nonlinear modelling based on genetic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016) 9692 432-449
DOI: 10.1007/978-3-319-39378-0_38
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Abstract

In this paper a new method for fuzzy nonlinear modeling is proposed. This method is a hybridization of genetic algorithm and genetic programming. The innovations in this method concern, among others, using weights of aggregation operators, fitness function criteria and possibilities of automatic creation of fuzzy rules base. The proposed method was tested with use of typical nonlinear modelling benchmarks.

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Łapa, K., Cpałka, K., & Koprinkova-Hristova, P. (2016). New method for fuzzy nonlinear modelling based on genetic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9692, pp. 432–449). Springer Verlag. https://doi.org/10.1007/978-3-319-39378-0_38

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