Abstract
The paper presents basic notions of fuzzy inference systems based on the Takagi-Sugeno fuzzy model. On the basis of this fuzzy inference system and IF-sets introduced by K.T. Atanassov, novel IF-inference systems can be designed. Thus, an IF-inference system is developed for time series prediction. In the next part of the paper we describe ozone prediction by IF-inference systems and the analysis of the results.
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Olej, V., Hájek, P. (2010). IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region . In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15819-3_1
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DOI: https://doi.org/10.1007/978-3-642-15819-3_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15818-6
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