@article{(Open Science Index):https://publications.waset.org/pdf/9998347,
	  title     = {A Fuzzy Nonlinear Regression Model for Interval Type-2 Fuzzy Sets},
	  author    = {O. Poleshchuk and  E.Komarov},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {8},
	  number    = {6},
	  year      = {2014},
	  pages     = {840 - 844},
	  ee        = {https://publications.waset.org/pdf/9998347},
	  url   	= {https://publications.waset.org/vol/90},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 90, 2014},
	}