O. Poleshchuk and E.Komarov A Fuzzy Nonlinear Regression Model for Interval Type2 Fuzzy Sets
840 - 844
2014
8
6
International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering http://waset.org/publications/9998347
http://waset.org/publications/90
World Academy of Science, Engineering and Technology
This paper presents a regression model for interval type2 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 type1 fuzzy sets, membership functions of whose are low membership function and upper membership function of interval type2 fuzzy set. These aggregation intervals were called weighted intervals. Low and upper membership functions of input and output interval type2 fuzzy sets for developed regression models are considered as piecewise linear functions.
International Science Index 90, 2014