Comparison of fuzzy operators for IF-inference systems of Takagi-Sugeno type in ozone prediction

17Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

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. © 2011 IFIP International Federation for Information Processing.

Cite

CITATION STYLE

APA

Olej, V., & Hájek, P. (2011). Comparison of fuzzy operators for IF-inference systems of Takagi-Sugeno type in ozone prediction. In IFIP Advances in Information and Communication Technology (Vol. 364 AICT, pp. 92–97). Springer New York LLC. https://doi.org/10.1007/978-3-642-23960-1_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free