Open Science Research Excellence
%0 Journal Article
%A O. Poleshchuk and  E.Komarov
%D 2014 
%J  International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 90, 2014
%T A Fuzzy Nonlinear Regression Model for Interval Type-2 Fuzzy Sets
%U http://waset.org/publications/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