Abstract
The paper presents IF-inference systems of Takagi-Sugeno type. It is based on intuitionistic fuzzy sets (IF-sets), introduced by K.T. Atanassov, fuzzy t-norm and t-conorm, intuitionistic fuzzy t-norm and t-conorm. Thus, an IF-inference system is developed for ozone time series prediction. Finally, we compare the results of the IF-inference systems across various operators.
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© 2011 IFIP International Federation for Information Processing
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Olej, V., Hájek, P. (2011). Comparison of Fuzzy Operators for IF-Inference Systems of Takagi-Sugeno Type in Ozone Prediction. In: Iliadis, L., Maglogiannis, I., Papadopoulos, H. (eds) Artificial Intelligence Applications and Innovations. EANN AIAI 2011 2011. IFIP Advances in Information and Communication Technology, vol 364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23960-1_11
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DOI: https://doi.org/10.1007/978-3-642-23960-1_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23959-5
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