Abstract
In this paper we combine type-2 fuzzy logic with a relational fuzzy system paradigm. Incorporating type-2 fuzzy sets brings new possibilities for performance improvement. The relational fuzzy system scheme reduces significantly the number of system parameters to be trained. Numerical simulations of the proposed combination of systems are presented. © 2010 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Scherer, R., & Starczewski, J. T. (2010). Relational type-2 interval fuzzy systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6067 LNCS, pp. 360–368). https://doi.org/10.1007/978-3-642-14390-8_37
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