@article {61669,
	title = {Fuzzy estimation for an adaptive type-2 fuzzy logic controller},
	journal = {NNGT Int. J. on Artificial Intelligence, },
	volume = {2},
	year = {2015},
	abstract = {
	It has been proven that fuzzy systems called type-1 fuzzy systems can approximate any nonlinear function to any desired accuracy because of the universal approximation theorem. The principal problem encountered with type-1 fuzzy systems is that they can deliver a non satisfactory performance in face of uncertainty and imprecision. In this paper, a new type-2 fuzzy system based on type-2 fuzzy basis functions was developed in order to use them in an indirect adaptive control.

},
	url = {https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.680.5241\&rep=rep1\&type=pdf},
	author = {Slimane, Noureddine and Chafaa, Kheireddine and Mohamed Salah Khireddine and Ghanai, Mouna}
}
