Comparison of Fuzzy Operators for IF-Inference Systems of Takagi-Sugeno Type in Ozone Prediction - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Comparison of Fuzzy Operators for IF-Inference Systems of Takagi-Sugeno Type in Ozone Prediction

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Vladimír Olej
  • Function : Author
  • PersonId : 992410
Petr Hájek
  • Function : Author
  • PersonId : 992409

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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hal-01571445 , version 1 (02-08-2017)

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Attribution - CC BY 4.0

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Vladimír Olej, Petr Hájek. Comparison of Fuzzy Operators for IF-Inference Systems of Takagi-Sugeno Type in Ozone Prediction. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. pp.92-97, ⟨10.1007/978-3-642-23960-1_11⟩. ⟨hal-01571445⟩
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