Skip to Main content Skip to Navigation

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

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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-01571445
Contributor : Hal Ifip <>
Submitted on : Wednesday, August 2, 2017 - 4:21:55 PM
Last modification on : Thursday, March 5, 2020 - 5:42:02 PM

File

978-3-642-23960-1_11_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

136

Files downloads

179