%0 Journal Article
	%A O. Poleshchuk and  E.Komarov
	%D 2014
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 90, 2014
	%T A Fuzzy Nonlinear Regression Model for Interval Type-2 Fuzzy Sets
	%U https://publications.waset.org/pdf/9998347
	%V 90
	%X This paper presents a regression model for interval type-2 fuzzy sets based on the least squares estimation technique. Unknown coefficients are assumed to be triangular fuzzy numbers. The basic idea is to determine aggregation intervals for type-1 fuzzy sets, membership functions of whose are low membership function and upper membership function of interval type-2 fuzzy set. These aggregation intervals were called weighted intervals. Low and upper membership functions of input and output interval type-2 fuzzy sets for developed regression models are considered as piecewise linear functions.

	%P 840 - 844