Abstract
In this paper a new algorithm for online management of fuzzy rules base for nonlinear modeling is proposed. The online management problem is complex due to limitations of memory and time needed for calculations. The proposed algorithm allows an online creation and management of fuzzy rules base. It is distinguished, among the others, by mechanisms of: managing of number of fuzzy rules, managing of fuzzy rules weights and possibilities of background learning. The proposed algorithm was tested on typical nonlinear modeling problems.
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Acknowledgment
The project was financed by the National Science Centre (Poland) on the basis of the decision number DEC-2012/05/B/ST7/02138.
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Łapa, K. (2017). A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling. In: Borzemski, L., Grzech, A., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part I. Advances in Intelligent Systems and Computing, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-46583-8_2
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DOI: https://doi.org/10.1007/978-3-319-46583-8_2
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